Explore exciting Data Engineer job opportunities in What Data Engineer Jobs are in Mumbai?
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Job Description
**Calling all innovators - find your future at Fiserv.**
We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv.
**Job Title**
Data Engineer
**Role Overview :**
We are seeking a skilled and motivated Data Engineer to join our team. In this role, you will collaborate closely with data scientists and analysts to build and maintain robust, scalable data pipelines. You will play a key role in ensuring data quality, integrity, and accessibility across the organization.
**What** **you will** **do:**
Collaborate with data scientists to design, implement, and maintain scalable data pipelines.
Ingest and integrate data from diverse sources, ensuring accuracy and consistency.
Clean, transform, and prepare data for analytical and reporting purposes.
Ensure data integrity, security, and compliance throughout the data lifecycle.
Automate workflows and production pipelines to improve operational efficiency.
**What you will need to have:**
2-4 years of experience in data engineering or a related field.
Proficiency in SQL and Python.
Experience with PySpark, AWS, and Snowflake is a strong plus.
Strong analytical and problem-solving skills.
Ability to work independently and manage multiple priorities with minimal supervision
Excellent data validation and quality assurance skills.
**What would be good to have:**
Strong communication and collaboration skills.
Passion for data and continuous learning.
Thank you for considering employment with Fiserv. Please:
+ Apply using your legal name
+ Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).
**Our commitment to Diversity and Inclusion:**
Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.
**Note to agencies:**
Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.
**Warning about fake job posts:**
Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.
We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv.
**Job Title**
Data Engineer
**Role Overview :**
We are seeking a skilled and motivated Data Engineer to join our team. In this role, you will collaborate closely with data scientists and analysts to build and maintain robust, scalable data pipelines. You will play a key role in ensuring data quality, integrity, and accessibility across the organization.
**What** **you will** **do:**
Collaborate with data scientists to design, implement, and maintain scalable data pipelines.
Ingest and integrate data from diverse sources, ensuring accuracy and consistency.
Clean, transform, and prepare data for analytical and reporting purposes.
Ensure data integrity, security, and compliance throughout the data lifecycle.
Automate workflows and production pipelines to improve operational efficiency.
**What you will need to have:**
2-4 years of experience in data engineering or a related field.
Proficiency in SQL and Python.
Experience with PySpark, AWS, and Snowflake is a strong plus.
Strong analytical and problem-solving skills.
Ability to work independently and manage multiple priorities with minimal supervision
Excellent data validation and quality assurance skills.
**What would be good to have:**
Strong communication and collaboration skills.
Passion for data and continuous learning.
Thank you for considering employment with Fiserv. Please:
+ Apply using your legal name
+ Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).
**Our commitment to Diversity and Inclusion:**
Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.
**Note to agencies:**
Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.
**Warning about fake job posts:**
Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.
Is this job a match or a miss?
Apply Now
0
Job Description
WSP India is currently seeking **Data Engineer** for Australia Mining team. They shall be responsible for supporting our AU business through GCC. This role is responsible for designing, building, and maintaining the data engineering layer of our **Microsoft Fabric** platform. The Data Engineer will own the end-to-end data pipeline lifecycle - from ingesting raw data out of engineering and construction tools through to delivering clean, modelled, AI-ready datasets that power reporting, dashboards, and decision-making across the business.
This is a **greenfield opportunity** - the successful candidate will be instrumental in shaping the platform from the ground up, making foundational decisions on standards, and patterns that will scale across the organisation. We are looking for someone who takes **genuine ownership** , thrives in ambiguity, and is energised by the challenge of building something from scratch rather than maintaining an existing setup.
WSP is one of the world's leading professional services consulting firms. We are dedicated to our local communities and propelled by international brainpower. We are technical experts and strategic advisors including engineers, technicians, scientists, architects, planners, surveyors and environmental specialists, as well as other design, program and construction management professionals. We design lasting solutions in the Transportation & Infrastructure, Property & Buildings, Earth & Environment, Power & Energy, Resources and Industry sectors, as well as offering strategic advisory services. Our talented people around the globe engineer projects that will help societies grow for lifetimes to come.
With approximately **4,000 talented people** across 3 locations (Noida, Bengaluru & Mumbai offices) in India and more than **73,000 globally** , in 550 **offices across 40 countries** , we engineer projects that will help societies grow for lifetimes to come.
At "WSP" we draw on the diverse skills and capabilities of our employees globally to compete for the most exciting and complex projects across the world and bring the same level of expertise to our local communities. We are proud to be an international collective of innovative thinkers who work on the most complex problems. Unified under one strong brand, we use our local expertise, international reach and global scale to prepare our cities and environments for the future, connect communities and help societies thrive in built and natural ecosystems. True to our guiding principles, our business is built on four cornerstones: **Our People, Our Clients, Our Operational Excellence and Our Expertise.**
** are**
+ Passionate people doing purposeful and sustainable work that helps shape our communities and the future.
+ A collaborative team that thrives on challenges and unconventional thinking.
+ A network of experts channeling our curiosity into creating solutions for complex issues.
**_Inspired by diversity, driven by inclusion, we work with passion and purpose._**
**Working with Us**
At WSP, you can access our global scale, contribute to landmark projects and connect with the brightest minds in your field to do the best work of your life. You can embrace your curiosity in a culture that celebrates new ideas and diverse perspectives. You can experience a world of opportunity and the chance to shape a career as unique as you.
**Our Hybrid Working Module**
With us, you can operate in a flexible, agile, yet structured work environment and follow a Hybrid Work Model.
+ Maximize collaboration.
+ Maintain product quality and cultural integrity.
+ Balance community, collaboration, opportunity, productivity, and efficiency.
**Health, Safety and Wellbeing**
Our people are our greatest asset, and we prioritize a safe work environment. Health, safety, and wellbeing are integral to our culture, with each of us accountable for fostering a safe workplace through our "Making Health and Safety Personal" initiative. Our Zero Harm Vision drives us to reduce risks through innovative solutions, earning recognition for our global health and safety practices with the prestigious RoSPA Health and Safety Awards for six consecutive years.
**Inclusivity and Diversity**
WSP India is dedicated to fostering a sustainable and inclusive work environment where our greatest strength - Our People -feel valued, respected, and supported. We ensure an unbiased approach in hiring, promotion, and performance evaluation, regardless of age, gender identity, race, religion, sexual orientation, marital status, physical ability, education, social status, or cultural background.
**Imagine a better future for you and a better future for us all.**
Join our close-knit community of over 73,300 talented global professionals dedicated to making a positive impact. Together, we can make a difference in communities both near and far.
**With us, you can.**
**Apply today.**
**NOTICE TO THIRD PARTY AGENCIES:**
_WSP does not accept unsolicited resumes from recruiters, employment agencies, or other staffing services. Unsolicited resumes include any resume or hiring document sent to WSP in the absence of a signed Service Agreement where WSP has expressly requested recruitment/staffing services specific to the position at hand. Any unsolicited resumes, including those submitted to hiring managers or other business leaders, will become the property of WSP and WSP will have the right to hire that candidate without reservation - no fee or other compensation will be owed or paid to the recruiter, employment agency, or other staffing service._
+ Build and maintain Data Factory pipelines for API-based data ingestion (REST, OData).
+ Develop Python ETL scripts for custom extraction, API polling, and file ingestion.
+ Develop and maintain Spark/Python notebooks (Python/PySpark) and SQL-based transformation logic.
+ Create Dataflows Gen2 (Power Query) for handling Excel/CSV-based messy data.
+ Implement incremental loads, watermarking, and CDC patterns.
+ Integrate data from Dataverse and other enterprise sources into Fabric.
+ Own Bronze → Silver transformations (cleansing, deduplication, standardisation)
+ Support Silver → Gold transformations (star schema, fact/dimension modelling)
+ Prepare feature datasets for AI/ML workloads and support notebook-based model development
+ Implement data quality frameworks (validation rules, anomaly detection)
+ Build and optimise Power BI semantic models (Direct Lake)
+ Prepare datasets for reporting and basic analytics use cases.
+ Monitor pipeline performance, platform health, and Fabric capacity (F64+), including cost optimisation.
+ Maintain documentation (data dictionaries, pipeline inventory, architecture decisions)
+ Manage Fabric capacity - pause/resume scheduling, scaling, and cost optimisation
Key Competencies / Skills:
+ Microsoft Fabric - Hands-on with Lakehouse, Warehouse, Data Factory, Dataflows Gen2, Notebooks, OneLake.
+ Python/SQL - Strong experience in ETL scripting, data engineering, transformation logic and notebook development.
+ Working knowledge of file formats, partitioning strategies, ACID transactions, schema evolution
+ Power BI - Semantic Model Creation, DAX fundamentals, Direct Lake mode configuration.
+ Star Schema Design - Fact/dimension modelling, slowly changing dimensions (SCD), aggregation patterns.
+ Data Factory / ETL - Pipeline design, REST/OData connectors, incremental loads, error handling.
+ Git / CI/CD - Version control practices, Fabric deployment pipelines, Azure DevOps integration.
+ Must be able to prioritize, multitask as well as work independently.
+ Must be able to maintain quality of work and at the same time meet multiple deadlines.
+ Excellent interpersonal skills cum responsiveness to others
+ Strong technical skills which demonstrate the ability to implement and maintain an enterprise level reporting solution.
Desirable:
+ Experience with Microsoft Dataverse and Power Apps integration
+ Familiarity with Microsoft Purview for governance and cataloguing
+ Understanding of the EPCM project lifecycle - feasibility through construction and commissioning
+ Experience with Agile / iterative delivery in small, cross-functional teams
+ Experience working in enterprise environments, particularly in the engineering and construction sector
+ Exposure to project controls data - schedules (P6/MSP), cost systems, document management, EVM.
+ Must have minimum 7-10 years of experience with
+ Microsoft Fabric certification - DP 600, DP700s would be advantageous.
BGV:
+ Employment with WSP India is subject to the successful completion of a background verification ("BGV") check conducted by a third-party agency appointed by WSP India.
+ Candidates are advised to ensure that all information provided during the recruitment process - including documents uploaded - is accurate and complete, both to WSP India and its BGV partner".
This is a **greenfield opportunity** - the successful candidate will be instrumental in shaping the platform from the ground up, making foundational decisions on standards, and patterns that will scale across the organisation. We are looking for someone who takes **genuine ownership** , thrives in ambiguity, and is energised by the challenge of building something from scratch rather than maintaining an existing setup.
WSP is one of the world's leading professional services consulting firms. We are dedicated to our local communities and propelled by international brainpower. We are technical experts and strategic advisors including engineers, technicians, scientists, architects, planners, surveyors and environmental specialists, as well as other design, program and construction management professionals. We design lasting solutions in the Transportation & Infrastructure, Property & Buildings, Earth & Environment, Power & Energy, Resources and Industry sectors, as well as offering strategic advisory services. Our talented people around the globe engineer projects that will help societies grow for lifetimes to come.
With approximately **4,000 talented people** across 3 locations (Noida, Bengaluru & Mumbai offices) in India and more than **73,000 globally** , in 550 **offices across 40 countries** , we engineer projects that will help societies grow for lifetimes to come.
At "WSP" we draw on the diverse skills and capabilities of our employees globally to compete for the most exciting and complex projects across the world and bring the same level of expertise to our local communities. We are proud to be an international collective of innovative thinkers who work on the most complex problems. Unified under one strong brand, we use our local expertise, international reach and global scale to prepare our cities and environments for the future, connect communities and help societies thrive in built and natural ecosystems. True to our guiding principles, our business is built on four cornerstones: **Our People, Our Clients, Our Operational Excellence and Our Expertise.**
** are**
+ Passionate people doing purposeful and sustainable work that helps shape our communities and the future.
+ A collaborative team that thrives on challenges and unconventional thinking.
+ A network of experts channeling our curiosity into creating solutions for complex issues.
**_Inspired by diversity, driven by inclusion, we work with passion and purpose._**
**Working with Us**
At WSP, you can access our global scale, contribute to landmark projects and connect with the brightest minds in your field to do the best work of your life. You can embrace your curiosity in a culture that celebrates new ideas and diverse perspectives. You can experience a world of opportunity and the chance to shape a career as unique as you.
**Our Hybrid Working Module**
With us, you can operate in a flexible, agile, yet structured work environment and follow a Hybrid Work Model.
+ Maximize collaboration.
+ Maintain product quality and cultural integrity.
+ Balance community, collaboration, opportunity, productivity, and efficiency.
**Health, Safety and Wellbeing**
Our people are our greatest asset, and we prioritize a safe work environment. Health, safety, and wellbeing are integral to our culture, with each of us accountable for fostering a safe workplace through our "Making Health and Safety Personal" initiative. Our Zero Harm Vision drives us to reduce risks through innovative solutions, earning recognition for our global health and safety practices with the prestigious RoSPA Health and Safety Awards for six consecutive years.
**Inclusivity and Diversity**
WSP India is dedicated to fostering a sustainable and inclusive work environment where our greatest strength - Our People -feel valued, respected, and supported. We ensure an unbiased approach in hiring, promotion, and performance evaluation, regardless of age, gender identity, race, religion, sexual orientation, marital status, physical ability, education, social status, or cultural background.
**Imagine a better future for you and a better future for us all.**
Join our close-knit community of over 73,300 talented global professionals dedicated to making a positive impact. Together, we can make a difference in communities both near and far.
**With us, you can.**
**Apply today.**
**NOTICE TO THIRD PARTY AGENCIES:**
_WSP does not accept unsolicited resumes from recruiters, employment agencies, or other staffing services. Unsolicited resumes include any resume or hiring document sent to WSP in the absence of a signed Service Agreement where WSP has expressly requested recruitment/staffing services specific to the position at hand. Any unsolicited resumes, including those submitted to hiring managers or other business leaders, will become the property of WSP and WSP will have the right to hire that candidate without reservation - no fee or other compensation will be owed or paid to the recruiter, employment agency, or other staffing service._
+ Build and maintain Data Factory pipelines for API-based data ingestion (REST, OData).
+ Develop Python ETL scripts for custom extraction, API polling, and file ingestion.
+ Develop and maintain Spark/Python notebooks (Python/PySpark) and SQL-based transformation logic.
+ Create Dataflows Gen2 (Power Query) for handling Excel/CSV-based messy data.
+ Implement incremental loads, watermarking, and CDC patterns.
+ Integrate data from Dataverse and other enterprise sources into Fabric.
+ Own Bronze → Silver transformations (cleansing, deduplication, standardisation)
+ Support Silver → Gold transformations (star schema, fact/dimension modelling)
+ Prepare feature datasets for AI/ML workloads and support notebook-based model development
+ Implement data quality frameworks (validation rules, anomaly detection)
+ Build and optimise Power BI semantic models (Direct Lake)
+ Prepare datasets for reporting and basic analytics use cases.
+ Monitor pipeline performance, platform health, and Fabric capacity (F64+), including cost optimisation.
+ Maintain documentation (data dictionaries, pipeline inventory, architecture decisions)
+ Manage Fabric capacity - pause/resume scheduling, scaling, and cost optimisation
Key Competencies / Skills:
+ Microsoft Fabric - Hands-on with Lakehouse, Warehouse, Data Factory, Dataflows Gen2, Notebooks, OneLake.
+ Python/SQL - Strong experience in ETL scripting, data engineering, transformation logic and notebook development.
+ Working knowledge of file formats, partitioning strategies, ACID transactions, schema evolution
+ Power BI - Semantic Model Creation, DAX fundamentals, Direct Lake mode configuration.
+ Star Schema Design - Fact/dimension modelling, slowly changing dimensions (SCD), aggregation patterns.
+ Data Factory / ETL - Pipeline design, REST/OData connectors, incremental loads, error handling.
+ Git / CI/CD - Version control practices, Fabric deployment pipelines, Azure DevOps integration.
+ Must be able to prioritize, multitask as well as work independently.
+ Must be able to maintain quality of work and at the same time meet multiple deadlines.
+ Excellent interpersonal skills cum responsiveness to others
+ Strong technical skills which demonstrate the ability to implement and maintain an enterprise level reporting solution.
Desirable:
+ Experience with Microsoft Dataverse and Power Apps integration
+ Familiarity with Microsoft Purview for governance and cataloguing
+ Understanding of the EPCM project lifecycle - feasibility through construction and commissioning
+ Experience with Agile / iterative delivery in small, cross-functional teams
+ Experience working in enterprise environments, particularly in the engineering and construction sector
+ Exposure to project controls data - schedules (P6/MSP), cost systems, document management, EVM.
+ Must have minimum 7-10 years of experience with
+ Microsoft Fabric certification - DP 600, DP700s would be advantageous.
BGV:
+ Employment with WSP India is subject to the successful completion of a background verification ("BGV") check conducted by a third-party agency appointed by WSP India.
+ Candidates are advised to ensure that all information provided during the recruitment process - including documents uploaded - is accurate and complete, both to WSP India and its BGV partner".
Is this job a match or a miss?
Apply Now
1
Job Description
**Who We Are**
At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world's leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people-Kyndryls-that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive.
**The Role**
Kyndryl Consult is the fastest growing business within the organization and instrumental to the company's strategic growth objectives. You will play a key leadership role across multi-disciplinary teams, guiding them through complex consulting engagements and be responsible for creating and positioning strategic change agendas within Kyndryl's largest accounts across the C-suite, spanning the intersection between complex Business and IT customer solutions, transformations that impact across the entire customer Eco-system.
As a Data & AI Consult Partner, you will have a pivotal role in driving profitable growth, leveraging our comprehensive capabilities to build strong client relationships, and leading your team to success. This role demands a strong presence, industry expertise, and the ability to cultivate relationships with CXO-level clients. Your leadership will be critical in fostering talent development and innovation within the organization.
This role of will also be leading the overall client engagement and delivering high quality client work alongside senior client stakeholders. Working in a transaction environment which may be pre or post deal, planning post deal implementation, and ultimately supporting execution. Partners will be focused on financial impact, utilization and contribution, client impact and leadership.
Contribute to Profitable Growth:
-Drive significant financial outcomes through signings and revenue targets
-Ensure sustained growth and profitability, managing margin expectations and backlog growth
-Support the identification, pursuit and conversion of a pipeline of business development opportunities
-Undertake scoping and fee negotiation on engagements, while enduring profitability and understanding and containing risk
Client Engagement:
-Build and maintain deep relationships with client CXOs and be seen as the 'go to' person and a trusted advisor by senior executives
-Leading C-level client interactions and consulting initiatives, deliverables and outputs of a deal engagement
-Demonstrate credibility and experience to advise and deliver on complex consulting engagement
-Enhance client satisfaction, as measured by Net Promoter Score (NPS) and new relationship development; Secure client references
Operational Excellence:
-Achieve individual and team utilization targets
-Lead the design of complex engagements and take responsibility for oversight of delivery, ensuring high performance and customer satisfaction
Leadership, Management, People
-Lead by example; Fostering a culture of continuous personal and professional development and challenging our people to be curious and innovative and supportive for each other. At the same time ensuring that all outcomes are commercially focused, value adding and effectively executed
Strategic Contribution:
-Utilize industry and technology expertise to shape and drive the company's strategic initiatives.
-Align with Kyndryl's strategic vision and contribute to its execution.
-Drive external eminence and innovation, establishing a strong personal and organizational brand in the industry.
-Proactively develop thought leadership and intellectual capital
Your Future at Kyndryl
Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won't find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.
**Who You Are**
Who You Are
You're good at what you do and possess the required experience to prove it. However, equally as important - you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused - someone who prioritizes customer success in their work. And finally, you're open and borderless - naturally inclusive in how you work with others.
Required Skills and Experience
-15+ yrs of Extensive experience in client engagement and relationship management at the CXO level in area of Data and AI
-Demonstrable ability to build and commercialize relationships with senior executives
-Proven track record of leading and executing complex projects with multi-disciplinary teams in a Data & AI consulting, corporate or public sector environment
-Effective financial acumen with experience in driving revenue growth and managing margins
-Experience of managing or supporting high-value business development activities with senior stakeholders
-Deep understanding of Data and AI industry trends and technology
-Sound personal brand and presence in the industry
-Demonstrated ability to innovate and drive change
Preferred Skills and Experience
-Leadership: self-starter mindset and with client and Kyndryl outcomes top of mind. Ability to mentor and mentee, create an environment and workplace of choice for peers and team members, be the role model of professional excellence
-Execution: Possesses critical thinking capabilities to analyze data and inputs with objectivity and provide strategic roadmaps and recommendations. Always intellectually curious an brings innovative ideas to solve critical business problems. Clearly accountable on commitments. Able to pivot change in client and business priorities and manage work across multiple projects and teams
-Bachelor's degree or Master's degree
**Being You**
The "Kyn" in Kyndryl means kinship, which represents the strong bonds we have with each other, our customers and our communities. We focus on ensuring all Kyndryls feel included and we welcome people of all cultures, backgrounds, and experiences. Even if you don't meet every requirement, we encourage you to apply. We believe in growth, and we're excited to see what you can bring. At Kyndryl, employee feedback has told us that our number one driver of employee engagement is belonging. That sense of belonging - being a valued, respected, trusted member of the team - is fundamental to our culture and fueling great experiences for our customers. This dedication to welcoming everyone into our company means that Kyndryl gives you the ability to thrive and contribute to our culture of empathy and shared success. That's The Kyndryl Way.
**What You Can Expect**
Your career with us isn't just a job-it's an adventure with purpose. We offer a dynamic, hybrid-friendly culture that supports your well-being and empowers you to grow. Our Be Well programs are thoughtfully designed to support your financial, mental, physical, and social health-because we know that when you feel your best, you do your best.
From your very first day, you'll dive into impactful work that powers the systems our customers rely on every day. You won't just contribute-you'll make a difference, tackling meaningful projects that sharpen your skills and fuel your growth.
We're here to champion your journey. With powerful tools to chart your career path, personalized development goals aligned with your ambitions, and continuous feedback to keep you inspired and on track, you'll have everything you need to thrive and evolve. You'll develop in-demand skills to grow your career and achieve your ambitions with access to cutting-edge learning opportunities-from certifications with Microsoft, Google, and Amazon to coaching and hands-on experiences. And through it all, you'll be part of a culture that values empathy, restless learning, and a devotion to shared success.
We want you to thrive here-and we're committed to helping you do just that. Ready to make an impact? Join us and help shape what's next.
**Get Referred!**
If you know someone that works at Kyndryl, when asked 'How Did You Hear About Us' during the application process, select 'Employee Referral' and enter your contact's Kyndryl email address.
Kyndryl is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Kyndryl is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world's leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people-Kyndryls-that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive.
**The Role**
Kyndryl Consult is the fastest growing business within the organization and instrumental to the company's strategic growth objectives. You will play a key leadership role across multi-disciplinary teams, guiding them through complex consulting engagements and be responsible for creating and positioning strategic change agendas within Kyndryl's largest accounts across the C-suite, spanning the intersection between complex Business and IT customer solutions, transformations that impact across the entire customer Eco-system.
As a Data & AI Consult Partner, you will have a pivotal role in driving profitable growth, leveraging our comprehensive capabilities to build strong client relationships, and leading your team to success. This role demands a strong presence, industry expertise, and the ability to cultivate relationships with CXO-level clients. Your leadership will be critical in fostering talent development and innovation within the organization.
This role of will also be leading the overall client engagement and delivering high quality client work alongside senior client stakeholders. Working in a transaction environment which may be pre or post deal, planning post deal implementation, and ultimately supporting execution. Partners will be focused on financial impact, utilization and contribution, client impact and leadership.
Contribute to Profitable Growth:
-Drive significant financial outcomes through signings and revenue targets
-Ensure sustained growth and profitability, managing margin expectations and backlog growth
-Support the identification, pursuit and conversion of a pipeline of business development opportunities
-Undertake scoping and fee negotiation on engagements, while enduring profitability and understanding and containing risk
Client Engagement:
-Build and maintain deep relationships with client CXOs and be seen as the 'go to' person and a trusted advisor by senior executives
-Leading C-level client interactions and consulting initiatives, deliverables and outputs of a deal engagement
-Demonstrate credibility and experience to advise and deliver on complex consulting engagement
-Enhance client satisfaction, as measured by Net Promoter Score (NPS) and new relationship development; Secure client references
Operational Excellence:
-Achieve individual and team utilization targets
-Lead the design of complex engagements and take responsibility for oversight of delivery, ensuring high performance and customer satisfaction
Leadership, Management, People
-Lead by example; Fostering a culture of continuous personal and professional development and challenging our people to be curious and innovative and supportive for each other. At the same time ensuring that all outcomes are commercially focused, value adding and effectively executed
Strategic Contribution:
-Utilize industry and technology expertise to shape and drive the company's strategic initiatives.
-Align with Kyndryl's strategic vision and contribute to its execution.
-Drive external eminence and innovation, establishing a strong personal and organizational brand in the industry.
-Proactively develop thought leadership and intellectual capital
Your Future at Kyndryl
Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won't find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.
**Who You Are**
Who You Are
You're good at what you do and possess the required experience to prove it. However, equally as important - you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused - someone who prioritizes customer success in their work. And finally, you're open and borderless - naturally inclusive in how you work with others.
Required Skills and Experience
-15+ yrs of Extensive experience in client engagement and relationship management at the CXO level in area of Data and AI
-Demonstrable ability to build and commercialize relationships with senior executives
-Proven track record of leading and executing complex projects with multi-disciplinary teams in a Data & AI consulting, corporate or public sector environment
-Effective financial acumen with experience in driving revenue growth and managing margins
-Experience of managing or supporting high-value business development activities with senior stakeholders
-Deep understanding of Data and AI industry trends and technology
-Sound personal brand and presence in the industry
-Demonstrated ability to innovate and drive change
Preferred Skills and Experience
-Leadership: self-starter mindset and with client and Kyndryl outcomes top of mind. Ability to mentor and mentee, create an environment and workplace of choice for peers and team members, be the role model of professional excellence
-Execution: Possesses critical thinking capabilities to analyze data and inputs with objectivity and provide strategic roadmaps and recommendations. Always intellectually curious an brings innovative ideas to solve critical business problems. Clearly accountable on commitments. Able to pivot change in client and business priorities and manage work across multiple projects and teams
-Bachelor's degree or Master's degree
**Being You**
The "Kyn" in Kyndryl means kinship, which represents the strong bonds we have with each other, our customers and our communities. We focus on ensuring all Kyndryls feel included and we welcome people of all cultures, backgrounds, and experiences. Even if you don't meet every requirement, we encourage you to apply. We believe in growth, and we're excited to see what you can bring. At Kyndryl, employee feedback has told us that our number one driver of employee engagement is belonging. That sense of belonging - being a valued, respected, trusted member of the team - is fundamental to our culture and fueling great experiences for our customers. This dedication to welcoming everyone into our company means that Kyndryl gives you the ability to thrive and contribute to our culture of empathy and shared success. That's The Kyndryl Way.
**What You Can Expect**
Your career with us isn't just a job-it's an adventure with purpose. We offer a dynamic, hybrid-friendly culture that supports your well-being and empowers you to grow. Our Be Well programs are thoughtfully designed to support your financial, mental, physical, and social health-because we know that when you feel your best, you do your best.
From your very first day, you'll dive into impactful work that powers the systems our customers rely on every day. You won't just contribute-you'll make a difference, tackling meaningful projects that sharpen your skills and fuel your growth.
We're here to champion your journey. With powerful tools to chart your career path, personalized development goals aligned with your ambitions, and continuous feedback to keep you inspired and on track, you'll have everything you need to thrive and evolve. You'll develop in-demand skills to grow your career and achieve your ambitions with access to cutting-edge learning opportunities-from certifications with Microsoft, Google, and Amazon to coaching and hands-on experiences. And through it all, you'll be part of a culture that values empathy, restless learning, and a devotion to shared success.
We want you to thrive here-and we're committed to helping you do just that. Ready to make an impact? Join us and help shape what's next.
**Get Referred!**
If you know someone that works at Kyndryl, when asked 'How Did You Hear About Us' during the application process, select 'Employee Referral' and enter your contact's Kyndryl email address.
Kyndryl is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Kyndryl is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
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2
AWS AI Specialist Sales - ISV
Posted 1 day ago
Job Viewed
Job Description
Description
About the Role: AWS seeks a Senior AI Specialist Sales professional to drive adoption of AWS's full stack AI services across ISV/DNB sectors. This individual contributor role requires deep AI/ML expertise, executive presence, and proven sales success. You'll engage C-level executives (CEOs, CTOs, CAIOs, CFOs, line of business owners) to accelerate Generative AI and Agentic AI adoption, bridging business strategy with technical implementation.
Key requirement: Ability to engage with CEO/LOB owners for strategic conversations to leverage AI for business transformation, as well as with CTO/CAIO for AI-implementation linked technical architecture conversations. AI specialist solution architects will support for Level 300+ deep dives.
Key job responsibilities
Engage C-suite executives to drive AWS AI services adoption: CEOs (business transformation), CTOs/CAIOs (technical architecture), CFOs (ROI models), line of business owners (use cases). Lead AI-focussed Executive Briefing Centers, board presentations, and strategic planning workshops.
Drive adoption of AWS full stack AI services (incl., but not limited to Amazon Bedrock, SageMaker, Amazon Q, Trainium / Inferentia etc.). Focus on Generative AI and Agentic AI as priority areas. Articulate business value from infrastructure (custom silicon) to applications; and position AWS AI services differentiation across aspects of model choice, security, cost optimization, responsible AI etc.
Solution Design & Sales Execution: Structure C-suite conversations on business outcomes that can be delivered using AI. Identify high-value industry-aligned use cases. Develop compelling business cases with quantified ROI and time-to-value. Own revenue targets for AI/ML services for assigned territories. Manage end-to-end sales cycles. Lead POCs and pilots demonstrating AWS AI services
Thought Leadership: Represent AWS at industry-aligned events. Develop executive presentations, thought leadership and case studies. Provide market insights to inform AWS product roadmaps
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Basic Qualifications
- Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies
- Experience engaging and influencing C-level executives, both business and technical
- Experience exceeding sales targets using a consultative, solutions-focused approach or equivalent
- Experience in solving complex business challenges by delivering accurate and timely financial models, analysis, and recommendations that have a proven impact on business (e.g., financial savings, operational improvements, or customer benefits), or experience communicating results to senior leadership
- Work experience: 10+ years sales or pre-sales experience in Data/Analytics/AI-ML/Digital Transformation in ISV/DNB sector with last couple of years in AI aligned roles.
- Technical Expertise: Proven experience in sales and/or practitioner roles across end-to-end AI value chain incl. LLMs, foundation models, RAG, model fine-tuning, ML Ops and AI infrastructure (GPUs, custom silicon and accelerated compute).
- Strong communication skills (simplify complex AI concepts for diverse audiences).
Preferred Qualifications
- MBA, or Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
- AWS certification
- Experience working as AI Practice lead or AI Solution Lead.
- Work experience in ISV/DNB sector with Hyperscalers, Strategy Consulting, Technology consulting arm of Big 4, AI consulting/services firms, GSIs, GCCs, ISVs.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
About the Role: AWS seeks a Senior AI Specialist Sales professional to drive adoption of AWS's full stack AI services across ISV/DNB sectors. This individual contributor role requires deep AI/ML expertise, executive presence, and proven sales success. You'll engage C-level executives (CEOs, CTOs, CAIOs, CFOs, line of business owners) to accelerate Generative AI and Agentic AI adoption, bridging business strategy with technical implementation.
Key requirement: Ability to engage with CEO/LOB owners for strategic conversations to leverage AI for business transformation, as well as with CTO/CAIO for AI-implementation linked technical architecture conversations. AI specialist solution architects will support for Level 300+ deep dives.
Key job responsibilities
Engage C-suite executives to drive AWS AI services adoption: CEOs (business transformation), CTOs/CAIOs (technical architecture), CFOs (ROI models), line of business owners (use cases). Lead AI-focussed Executive Briefing Centers, board presentations, and strategic planning workshops.
Drive adoption of AWS full stack AI services (incl., but not limited to Amazon Bedrock, SageMaker, Amazon Q, Trainium / Inferentia etc.). Focus on Generative AI and Agentic AI as priority areas. Articulate business value from infrastructure (custom silicon) to applications; and position AWS AI services differentiation across aspects of model choice, security, cost optimization, responsible AI etc.
Solution Design & Sales Execution: Structure C-suite conversations on business outcomes that can be delivered using AI. Identify high-value industry-aligned use cases. Develop compelling business cases with quantified ROI and time-to-value. Own revenue targets for AI/ML services for assigned territories. Manage end-to-end sales cycles. Lead POCs and pilots demonstrating AWS AI services
Thought Leadership: Represent AWS at industry-aligned events. Develop executive presentations, thought leadership and case studies. Provide market insights to inform AWS product roadmaps
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Basic Qualifications
- Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies
- Experience engaging and influencing C-level executives, both business and technical
- Experience exceeding sales targets using a consultative, solutions-focused approach or equivalent
- Experience in solving complex business challenges by delivering accurate and timely financial models, analysis, and recommendations that have a proven impact on business (e.g., financial savings, operational improvements, or customer benefits), or experience communicating results to senior leadership
- Work experience: 10+ years sales or pre-sales experience in Data/Analytics/AI-ML/Digital Transformation in ISV/DNB sector with last couple of years in AI aligned roles.
- Technical Expertise: Proven experience in sales and/or practitioner roles across end-to-end AI value chain incl. LLMs, foundation models, RAG, model fine-tuning, ML Ops and AI infrastructure (GPUs, custom silicon and accelerated compute).
- Strong communication skills (simplify complex AI concepts for diverse audiences).
Preferred Qualifications
- MBA, or Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
- AWS certification
- Experience working as AI Practice lead or AI Solution Lead.
- Work experience in ISV/DNB sector with Hyperscalers, Strategy Consulting, Technology consulting arm of Big 4, AI consulting/services firms, GSIs, GCCs, ISVs.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Is this job a match or a miss?
Apply Now
3
Job Description
Data Engineer III
Join a Collaborative, Inclusive Team Driving Innovation in Healthcare Technology
Make a Difference with Us
Are you passionate about developing high-quality software that positively impacts people's lives?
Do you enjoy collaborating with others and inspiring those around you?
If you're looking for a place where your skills, perspectives, and ideas are valued, we encourage you to consider this opportunity.
About the Business
At LexisNexis Risk Solutions, we help organizations assess and manage risk, with a special focus on advancing health outcomes and improving healthcare operations. We are committed to privacy, security, accessibility, and the ethical use of data. Our diverse teams leverage robust data, innovative technology, and applied analytics to make a positive difference. To learn more, please visit the Team
We organize our teams into collaborative Squads, each bringing together people from many backgrounds and with a variety of skills and perspectives. This structure encourages open communication, shared learning, and the opportunity for everyone to contribute toward our goals. We value each team member's unique experience and input.
About the Role
This role performs moderate-complexity research, design, and data engineering assignments within a defined engineering functional area or product line, with emphasis on Python development basics, workflow automation, AI-enabled process improvement, and production support readiness.
Responsibilities
+ Own and manage assigned data transfers, including collection setup, transfer setup, contributor onboarding, and customer onboarding activities.
+ Partner with technical stakeholders to gather, analyze, document, and finalize business and technical requirements for data engineering solutions.
+ Design, develop, maintain, and support efficient, reusable, and high-quality Python-based data pipelines, workflows, and automation solutions.
+ Write and review technical specifications, oversee dataflow and database structures, and ensure compliance with engineering standards and best practices.
+ Troubleshoot production and data engineering issues, perform root cause analysis, implement bug fixes, and drive permanent corrective actions.
+ Monitor pipeline health, data quality, SLA adherence, and operational performance while providing L2/L3 production support, incident management, and service recovery.
+ Collaborate with cross-functional teams to translate product requirements into scalable data engineering solutions and continuously improve processes through automation and AI-driven approaches.
+ Participate in code reviews, project reviews, operational documentation, knowledge development, and ongoing learning to deliver high-quality services aligned with changing business priorities.
Requirement
+ 4+ years of experience in Data Engineering or Data Management with demonstrated technical competency and experience supporting production data pipelines and systems.
+ Bachelor's degree in Engineering, Computer Science, or a related field, or equivalent practical experience.
+ Strong proficiency in Python for data processing, scripting, pipeline development, automation, operational tooling, and production support activities.
+ Proficiency in SQL and data manipulation/query languages, with solid understanding of file management and data transfer processes.
+ Experience with automation frameworks and tools to improve reliability, operational efficiency, scalability, and service quality.
+ Working knowledge of AI-assisted techniques, software engineering best practices, Agile methodologies, and development environments including Windows, Unix, and HPCC.
+ Strong analytical, problem-solving, communication, collaboration, and attention-to-detail skills, with the ability to learn new tools, technologies, and processes.
+ Hands-on experience in production support, including monitoring, alert triage, log analysis, incident management, stakeholder communication, service recovery, and operational documentation.
Learn more about the LexisNexis Risk team and how we work ( know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here ( to access benefits specific to your location.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact .
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.
Please read our Candidate Privacy Policy.
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights.
RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.
Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.
Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.
Join a Collaborative, Inclusive Team Driving Innovation in Healthcare Technology
Make a Difference with Us
Are you passionate about developing high-quality software that positively impacts people's lives?
Do you enjoy collaborating with others and inspiring those around you?
If you're looking for a place where your skills, perspectives, and ideas are valued, we encourage you to consider this opportunity.
About the Business
At LexisNexis Risk Solutions, we help organizations assess and manage risk, with a special focus on advancing health outcomes and improving healthcare operations. We are committed to privacy, security, accessibility, and the ethical use of data. Our diverse teams leverage robust data, innovative technology, and applied analytics to make a positive difference. To learn more, please visit the Team
We organize our teams into collaborative Squads, each bringing together people from many backgrounds and with a variety of skills and perspectives. This structure encourages open communication, shared learning, and the opportunity for everyone to contribute toward our goals. We value each team member's unique experience and input.
About the Role
This role performs moderate-complexity research, design, and data engineering assignments within a defined engineering functional area or product line, with emphasis on Python development basics, workflow automation, AI-enabled process improvement, and production support readiness.
Responsibilities
+ Own and manage assigned data transfers, including collection setup, transfer setup, contributor onboarding, and customer onboarding activities.
+ Partner with technical stakeholders to gather, analyze, document, and finalize business and technical requirements for data engineering solutions.
+ Design, develop, maintain, and support efficient, reusable, and high-quality Python-based data pipelines, workflows, and automation solutions.
+ Write and review technical specifications, oversee dataflow and database structures, and ensure compliance with engineering standards and best practices.
+ Troubleshoot production and data engineering issues, perform root cause analysis, implement bug fixes, and drive permanent corrective actions.
+ Monitor pipeline health, data quality, SLA adherence, and operational performance while providing L2/L3 production support, incident management, and service recovery.
+ Collaborate with cross-functional teams to translate product requirements into scalable data engineering solutions and continuously improve processes through automation and AI-driven approaches.
+ Participate in code reviews, project reviews, operational documentation, knowledge development, and ongoing learning to deliver high-quality services aligned with changing business priorities.
Requirement
+ 4+ years of experience in Data Engineering or Data Management with demonstrated technical competency and experience supporting production data pipelines and systems.
+ Bachelor's degree in Engineering, Computer Science, or a related field, or equivalent practical experience.
+ Strong proficiency in Python for data processing, scripting, pipeline development, automation, operational tooling, and production support activities.
+ Proficiency in SQL and data manipulation/query languages, with solid understanding of file management and data transfer processes.
+ Experience with automation frameworks and tools to improve reliability, operational efficiency, scalability, and service quality.
+ Working knowledge of AI-assisted techniques, software engineering best practices, Agile methodologies, and development environments including Windows, Unix, and HPCC.
+ Strong analytical, problem-solving, communication, collaboration, and attention-to-detail skills, with the ability to learn new tools, technologies, and processes.
+ Hands-on experience in production support, including monitoring, alert triage, log analysis, incident management, stakeholder communication, service recovery, and operational documentation.
Learn more about the LexisNexis Risk team and how we work ( know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here ( to access benefits specific to your location.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact .
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.
Please read our Candidate Privacy Policy.
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights.
RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.
Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.
Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.
Is this job a match or a miss?
Apply Now
4
Data Engineer-Data Platforms
Posted 5 days ago
Job Viewed
Job Description
**Introduction**
A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You'll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
**Your role and responsibilities**
As a Data Engineer specializing in Data Platforms, you will develop applications on Big Data technologies, including API development. This role requires a strong foundation in traditional Application Development, along with knowledge of Analytics libraries, open-source Natural Language Processing, and statistical and big data computing libraries. Your primary responsibilities will include: - Design and Develop Applications: Develop applications on Big Data technologies, including API development, utilizing expertise in traditional Application Development and knowledge of Analytics libraries. - Write and Debug Code: Write and debug complex code, applying technical abilities to ensure high-quality solutions. - Apply Technical Expertise: Apply knowledge of open-source Natural Language Processing, and statistical and big data computing libraries to deliver robust data platforms.
**Required technical and professional expertise**
- Traditional Application Development: Exposure to developing applications using traditional methods, with a strong foundation in software development principles. - Big Data Technologies: Experience working with Big Data technologies, including API development and data processing frameworks. - Analytics Libraries: Exposure to Analytics libraries, with knowledge of how to integrate them into data platforms. - Open-Source Natural Language Processing: Experience working with open-source Natural Language Processing tools and techniques, with an understanding of their application in data analysis. - Statistical and Big Data Computing Libraries: Exposure to statistical and big data computing libraries, with knowledge of how to apply them in data platform development.
**Preferred technical and professional experience**
- Advanced Analytics Knowledge: Exposure to advanced analytics concepts, including data modeling and machine learning, is beneficial for this role. - Cloud-Based Big Data: Experience working with cloud-based big data technologies, such as cloud-based data warehousing and data processing frameworks, is advantageous. - Additional Programming Languages: Knowledge of additional programming languages, such as Python or R, is desirable for developing applications on Big Data technologies.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You'll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
**Your role and responsibilities**
As a Data Engineer specializing in Data Platforms, you will develop applications on Big Data technologies, including API development. This role requires a strong foundation in traditional Application Development, along with knowledge of Analytics libraries, open-source Natural Language Processing, and statistical and big data computing libraries. Your primary responsibilities will include: - Design and Develop Applications: Develop applications on Big Data technologies, including API development, utilizing expertise in traditional Application Development and knowledge of Analytics libraries. - Write and Debug Code: Write and debug complex code, applying technical abilities to ensure high-quality solutions. - Apply Technical Expertise: Apply knowledge of open-source Natural Language Processing, and statistical and big data computing libraries to deliver robust data platforms.
**Required technical and professional expertise**
- Traditional Application Development: Exposure to developing applications using traditional methods, with a strong foundation in software development principles. - Big Data Technologies: Experience working with Big Data technologies, including API development and data processing frameworks. - Analytics Libraries: Exposure to Analytics libraries, with knowledge of how to integrate them into data platforms. - Open-Source Natural Language Processing: Experience working with open-source Natural Language Processing tools and techniques, with an understanding of their application in data analysis. - Statistical and Big Data Computing Libraries: Exposure to statistical and big data computing libraries, with knowledge of how to apply them in data platform development.
**Preferred technical and professional experience**
- Advanced Analytics Knowledge: Exposure to advanced analytics concepts, including data modeling and machine learning, is beneficial for this role. - Cloud-Based Big Data: Experience working with cloud-based big data technologies, such as cloud-based data warehousing and data processing frameworks, is advantageous. - Additional Programming Languages: Knowledge of additional programming languages, such as Python or R, is desirable for developing applications on Big Data technologies.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Is this job a match or a miss?
Apply Now
5
Partner Forward Deployed Engineer, Generative AI, Google Cloud
Posted 1 day ago
Job Viewed
Job Description
Partner Forward Deployed Engineer, Generative AI, Google Cloud
_corporate_fare_ Google _place_ Mumbai, Maharashtra, India; Bengaluru, Karnataka, India
**Advanced**
Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
_info_outline_
XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: **Mumbai, Maharashtra, India; Bengaluru, Karnataka, India** .
**Minimum qualifications:**
+ Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience.
+ 8 years of experience in cloud computing or a technical customer-facing role.
+ Experience taking production-grade AI-driven solutions from conception to launch and architecting AI systems on cloud platforms (e.g., GCP).
+ Experience building pipelines for structured and unstructured data using both vector databases and Retrieval-Augmented Generation (RAG)-like architectures to power enterprise AI solutions.
+ Experience leading technical discovery sessions.
**Preferred qualifications:**
+ Master's degree or PhD in AI, Computer Science, or a related technical field.
+ Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, Agent Development Kit (ADK)) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).
+ Knowledge of "LLM-native" metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
**About the job**
As a GenAI Forward Deployed Engineer (FDE) at Google Cloud, you will be an embedded builder who bridges the gap between frontier Artificial Intelligence (AI) products and production-grade reality within customers. You will function as an "innovator-builder," moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer's environment. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management challenges that prevent AI from reaching enterprise-grade maturity. You serve will a dual purpose: providing "white glove" deployment of complex AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud's future product roadmap.
It's an exciting time to join Google Cloud's Go-To-Market team, leading the AI revolution for businesses worldwide. You'll excel by leveraging Google's brand credibility-a legacy built on inventing foundational technologies and proven at scale. We'll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We're a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era-the market is yours.
**Responsibilities**
+ Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, Model Context Protocol (MCP) servers) that drive measurable Return on Investment (ROI).
+ Architect and code the "connective tissue" between Google's AI products and customer's live infrastructure, including Application Programming Interfaces (APIs), legacy data silos, and security perimeters as part of an expert team.
+ Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.
+ Identify repeatable field patterns and friction points in Google's AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.
+ Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy ( ,Know your rights: workplace discrimination is illegal ( ,Belonging at Google ( , andHow we hire ( .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form ( .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:
_corporate_fare_ Google _place_ Mumbai, Maharashtra, India; Bengaluru, Karnataka, India
**Advanced**
Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
_info_outline_
XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: **Mumbai, Maharashtra, India; Bengaluru, Karnataka, India** .
**Minimum qualifications:**
+ Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience.
+ 8 years of experience in cloud computing or a technical customer-facing role.
+ Experience taking production-grade AI-driven solutions from conception to launch and architecting AI systems on cloud platforms (e.g., GCP).
+ Experience building pipelines for structured and unstructured data using both vector databases and Retrieval-Augmented Generation (RAG)-like architectures to power enterprise AI solutions.
+ Experience leading technical discovery sessions.
**Preferred qualifications:**
+ Master's degree or PhD in AI, Computer Science, or a related technical field.
+ Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, Agent Development Kit (ADK)) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).
+ Knowledge of "LLM-native" metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
**About the job**
As a GenAI Forward Deployed Engineer (FDE) at Google Cloud, you will be an embedded builder who bridges the gap between frontier Artificial Intelligence (AI) products and production-grade reality within customers. You will function as an "innovator-builder," moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer's environment. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management challenges that prevent AI from reaching enterprise-grade maturity. You serve will a dual purpose: providing "white glove" deployment of complex AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud's future product roadmap.
It's an exciting time to join Google Cloud's Go-To-Market team, leading the AI revolution for businesses worldwide. You'll excel by leveraging Google's brand credibility-a legacy built on inventing foundational technologies and proven at scale. We'll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We're a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era-the market is yours.
**Responsibilities**
+ Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, Model Context Protocol (MCP) servers) that drive measurable Return on Investment (ROI).
+ Architect and code the "connective tissue" between Google's AI products and customer's live infrastructure, including Application Programming Interfaces (APIs), legacy data silos, and security perimeters as part of an expert team.
+ Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.
+ Identify repeatable field patterns and friction points in Google's AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.
+ Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy ( ,Know your rights: workplace discrimination is illegal ( ,Belonging at Google ( , andHow we hire ( .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form ( .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:
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6
Job Description
**Who We Are**
At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world's leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people-Kyndryls-that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive.
**The Role**
Are you passionate about solving complex problems? Do you thrive in a fast-paced environment? Then there's a good chance you will love being a part of our Software Engineering - Development team at Kyndryl, where you will be able to see the immediate value of your work.
As a Software Engineering - Developer at Kyndryl, you will be at the forefront of designing, developing, and implementing cutting-edge software solutions. Your work will play a critical role in our business offering, your code will deliver value to our customers faster than ever before, and your attention to detail and commitment to quality will be critical in ensuring the success of our products.
Using design documentation and functional programming specifications, you will be responsible for implementing identified components. You will ensure that implemented components are appropriately documented, unit-tested, and ready for integration into the final product. You will have the opportunity to architect the solution, test the code, and deploy and build a CI/CD pipeline for it.
As a valued member of our team, you will provide work estimates for assigned development work, and guide features, functional objectives, or technologies being built for interested parties. Your contributions will have a significant impact on our products' success, and you will be part of a team that is passionate about innovation, creativity, and excellence. Above all else, you will have the freedom to drive innovation and take ownership of your work while honing your problem-solving, collaboration, and automation skills. Together, we can make a difference in the world of cloud-based managed services.
Your Future at Kyndryl
The career path ahead is full of exciting opportunities to grow and advance within the job family. With dedication and hard work, you can climb the ladder to higher bands, achieving coveted positions such as Principal Engineer or Vice President. These roles not only offer the chance to inspire and innovate, but also bring with them a sense of pride and accomplishment for having reached the pinnacle of your career in the software industry.
**Who You Are**
You're good at what you do and possess the required experience to prove it. However, equally as important - you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused - someone who prioritizes customer success in their work. And finally, you're open and borderless - naturally inclusive in how you work with others.
**Required Technical and Professional Experience**
- 1-3 years of experience working as a software engineer on complex software projects
-Excellent coding skills and solid development experience (Java, Python, .Net etc.) with debugging and problem-solving skills
-Software Engineering: Solid grasp of the software delivery lifecycle, version control (Git & GitHub), and data engineering tools such as Pandas and Spark.
-Agentic AI Systems is a plus: Experience designing, building, or integrating multi-agent systems and orchestration frameworks (e.g., LangGraph, Semantic Kernel, Agent Framework, AutoGen, CrewAI), including the development of agent protocols and coordination mechanisms.
- Retrieval-Augmented Generation (RAG) & Knowledge Systems is a plus: Practical knowledge of deploying RAG architectures and integrating structured and unstructured knowledge sources into AI solutions.
- Cloud & Distributed Systems: Experience with cloud AI platforms (AWS, Azure, Google AI) and distributed computing architectures.
-Experienced in relational and NoSQL databases, data mapping, XML/JSON, Rest based web services
-Deep understanding of OOP and Design patterns
**Preferred Technical and Professional Experience**
-Bachelor's degree in Computer Science, related technical field, or equivalent practical experience
-Certification in one or more of the hyperscalers (Azure, AWS, and Google GCP) - otherwise, you can obtain certifications with Kyndryl
-Experience with DevOps tools and modern engineering practices
**Being You**
The "Kyn" in Kyndryl means kinship, which represents the strong bonds we have with each other, our customers and our communities. We focus on ensuring all Kyndryls feel included and we welcome people of all cultures, backgrounds, and experiences. Even if you don't meet every requirement, we encourage you to apply. We believe in growth, and we're excited to see what you can bring. At Kyndryl, employee feedback has told us that our number one driver of employee engagement is belonging. That sense of belonging - being a valued, respected, trusted member of the team - is fundamental to our culture and fueling great experiences for our customers. This dedication to welcoming everyone into our company means that Kyndryl gives you the ability to thrive and contribute to our culture of empathy and shared success. That's The Kyndryl Way.
**What You Can Expect**
Your career with us isn't just a job-it's an adventure with purpose. We offer a dynamic, hybrid-friendly culture that supports your well-being and empowers you to grow. Our Be Well programs are thoughtfully designed to support your financial, mental, physical, and social health-because we know that when you feel your best, you do your best.
From your very first day, you'll dive into impactful work that powers the systems our customers rely on every day. You won't just contribute-you'll make a difference, tackling meaningful projects that sharpen your skills and fuel your growth.
We're here to champion your journey. With powerful tools to chart your career path, personalized development goals aligned with your ambitions, and continuous feedback to keep you inspired and on track, you'll have everything you need to thrive and evolve. You'll develop in-demand skills to grow your career and achieve your ambitions with access to cutting-edge learning opportunities-from certifications with Microsoft, Google, and Amazon to coaching and hands-on experiences. And through it all, you'll be part of a culture that values empathy, restless learning, and a devotion to shared success.
We want you to thrive here-and we're committed to helping you do just that. Ready to make an impact? Join us and help shape what's next.
**Get Referred!**
If you know someone that works at Kyndryl, when asked 'How Did You Hear About Us' during the application process, select 'Employee Referral' and enter your contact's Kyndryl email address.
Kyndryl is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Kyndryl is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world's leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people-Kyndryls-that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive.
**The Role**
Are you passionate about solving complex problems? Do you thrive in a fast-paced environment? Then there's a good chance you will love being a part of our Software Engineering - Development team at Kyndryl, where you will be able to see the immediate value of your work.
As a Software Engineering - Developer at Kyndryl, you will be at the forefront of designing, developing, and implementing cutting-edge software solutions. Your work will play a critical role in our business offering, your code will deliver value to our customers faster than ever before, and your attention to detail and commitment to quality will be critical in ensuring the success of our products.
Using design documentation and functional programming specifications, you will be responsible for implementing identified components. You will ensure that implemented components are appropriately documented, unit-tested, and ready for integration into the final product. You will have the opportunity to architect the solution, test the code, and deploy and build a CI/CD pipeline for it.
As a valued member of our team, you will provide work estimates for assigned development work, and guide features, functional objectives, or technologies being built for interested parties. Your contributions will have a significant impact on our products' success, and you will be part of a team that is passionate about innovation, creativity, and excellence. Above all else, you will have the freedom to drive innovation and take ownership of your work while honing your problem-solving, collaboration, and automation skills. Together, we can make a difference in the world of cloud-based managed services.
Your Future at Kyndryl
The career path ahead is full of exciting opportunities to grow and advance within the job family. With dedication and hard work, you can climb the ladder to higher bands, achieving coveted positions such as Principal Engineer or Vice President. These roles not only offer the chance to inspire and innovate, but also bring with them a sense of pride and accomplishment for having reached the pinnacle of your career in the software industry.
**Who You Are**
You're good at what you do and possess the required experience to prove it. However, equally as important - you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused - someone who prioritizes customer success in their work. And finally, you're open and borderless - naturally inclusive in how you work with others.
**Required Technical and Professional Experience**
- 1-3 years of experience working as a software engineer on complex software projects
-Excellent coding skills and solid development experience (Java, Python, .Net etc.) with debugging and problem-solving skills
-Software Engineering: Solid grasp of the software delivery lifecycle, version control (Git & GitHub), and data engineering tools such as Pandas and Spark.
-Agentic AI Systems is a plus: Experience designing, building, or integrating multi-agent systems and orchestration frameworks (e.g., LangGraph, Semantic Kernel, Agent Framework, AutoGen, CrewAI), including the development of agent protocols and coordination mechanisms.
- Retrieval-Augmented Generation (RAG) & Knowledge Systems is a plus: Practical knowledge of deploying RAG architectures and integrating structured and unstructured knowledge sources into AI solutions.
- Cloud & Distributed Systems: Experience with cloud AI platforms (AWS, Azure, Google AI) and distributed computing architectures.
-Experienced in relational and NoSQL databases, data mapping, XML/JSON, Rest based web services
-Deep understanding of OOP and Design patterns
**Preferred Technical and Professional Experience**
-Bachelor's degree in Computer Science, related technical field, or equivalent practical experience
-Certification in one or more of the hyperscalers (Azure, AWS, and Google GCP) - otherwise, you can obtain certifications with Kyndryl
-Experience with DevOps tools and modern engineering practices
**Being You**
The "Kyn" in Kyndryl means kinship, which represents the strong bonds we have with each other, our customers and our communities. We focus on ensuring all Kyndryls feel included and we welcome people of all cultures, backgrounds, and experiences. Even if you don't meet every requirement, we encourage you to apply. We believe in growth, and we're excited to see what you can bring. At Kyndryl, employee feedback has told us that our number one driver of employee engagement is belonging. That sense of belonging - being a valued, respected, trusted member of the team - is fundamental to our culture and fueling great experiences for our customers. This dedication to welcoming everyone into our company means that Kyndryl gives you the ability to thrive and contribute to our culture of empathy and shared success. That's The Kyndryl Way.
**What You Can Expect**
Your career with us isn't just a job-it's an adventure with purpose. We offer a dynamic, hybrid-friendly culture that supports your well-being and empowers you to grow. Our Be Well programs are thoughtfully designed to support your financial, mental, physical, and social health-because we know that when you feel your best, you do your best.
From your very first day, you'll dive into impactful work that powers the systems our customers rely on every day. You won't just contribute-you'll make a difference, tackling meaningful projects that sharpen your skills and fuel your growth.
We're here to champion your journey. With powerful tools to chart your career path, personalized development goals aligned with your ambitions, and continuous feedback to keep you inspired and on track, you'll have everything you need to thrive and evolve. You'll develop in-demand skills to grow your career and achieve your ambitions with access to cutting-edge learning opportunities-from certifications with Microsoft, Google, and Amazon to coaching and hands-on experiences. And through it all, you'll be part of a culture that values empathy, restless learning, and a devotion to shared success.
We want you to thrive here-and we're committed to helping you do just that. Ready to make an impact? Join us and help shape what's next.
**Get Referred!**
If you know someone that works at Kyndryl, when asked 'How Did You Hear About Us' during the application process, select 'Employee Referral' and enter your contact's Kyndryl email address.
Kyndryl is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Kyndryl is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Is this job a match or a miss?
Apply Now
7
Data Engineer-Data Integration
Posted 5 days ago
Job Viewed
Job Description
**Introduction**
A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You'll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
**Your role and responsibilities**
As a Data Engineer specializing in Data Integration, you will design and build solutions to transfer data from operational and external environments to the business intelligence environment. You will utilize specialized tools to create and implement Extract, Transform, and Load (ETL) processes, ensuring the seamless flow of data throughout the business intelligence solution's lifecycle. Your primary responsibilities will include: - Design Data Integration Solutions: Create solutions to transfer data from operational and external environments to the business intelligence environment, utilizing tools such as Informatica, Ab Initio software, and DataStage. - Implement ETL Processes: Develop and implement Extract, Transform, and Load (ETL) processes to ensure the seamless flow of data throughout the business intelligence solution's lifecycle. - Utilize Specialized Tools: Apply knowledge of Informatica, Ab Initio software, and DataStage to design and build data integration solutions. - Ensure Seamless Data Flow: Ensure the smooth flow of data throughout the business intelligence solution's lifecycle by creating and implementing effective ETL processes. - Support Business Intelligence: Support the business intelligence environment by designing and building solutions to transfer data from operational and external environments.
**Required technical and professional expertise**
- Exposure to Data Integration Tools: Familiarity with tools such as Informatica, Ab Initio software, and DataStage (formerly Ascential) - IBM's WebSphere Data Integration Suite. - ETL Process Implementation: Experience working with Extract, Transform, and Load (ETL) processes to ensure the seamless flow of data throughout the business intelligence solution's lifecycle. - Data Solution Design: Exposure to designing solutions to transfer data from operational and external environments to the business intelligence environment. - Business Intelligence Environment: Experience working within a business intelligence environment, supporting data integration solutions. - Data Flow Management: Exposure to ensuring the smooth flow of data throughout the business intelligence solution's lifecycle.
**Preferred technical and professional experience**
- Additional Data Integration Tools: Exposure to other data integration tools beyond Informatica, Ab Initio software, and DataStage can be beneficial in this role. - Advanced ETL Techniques: Experience working with advanced ETL techniques and methodologies can enhance the ability to design and implement efficient data integration solutions. - Business Intelligence Platforms: Familiarity with various business intelligence platforms can support the development of effective data integration solutions.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You'll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
**Your role and responsibilities**
As a Data Engineer specializing in Data Integration, you will design and build solutions to transfer data from operational and external environments to the business intelligence environment. You will utilize specialized tools to create and implement Extract, Transform, and Load (ETL) processes, ensuring the seamless flow of data throughout the business intelligence solution's lifecycle. Your primary responsibilities will include: - Design Data Integration Solutions: Create solutions to transfer data from operational and external environments to the business intelligence environment, utilizing tools such as Informatica, Ab Initio software, and DataStage. - Implement ETL Processes: Develop and implement Extract, Transform, and Load (ETL) processes to ensure the seamless flow of data throughout the business intelligence solution's lifecycle. - Utilize Specialized Tools: Apply knowledge of Informatica, Ab Initio software, and DataStage to design and build data integration solutions. - Ensure Seamless Data Flow: Ensure the smooth flow of data throughout the business intelligence solution's lifecycle by creating and implementing effective ETL processes. - Support Business Intelligence: Support the business intelligence environment by designing and building solutions to transfer data from operational and external environments.
**Required technical and professional expertise**
- Exposure to Data Integration Tools: Familiarity with tools such as Informatica, Ab Initio software, and DataStage (formerly Ascential) - IBM's WebSphere Data Integration Suite. - ETL Process Implementation: Experience working with Extract, Transform, and Load (ETL) processes to ensure the seamless flow of data throughout the business intelligence solution's lifecycle. - Data Solution Design: Exposure to designing solutions to transfer data from operational and external environments to the business intelligence environment. - Business Intelligence Environment: Experience working within a business intelligence environment, supporting data integration solutions. - Data Flow Management: Exposure to ensuring the smooth flow of data throughout the business intelligence solution's lifecycle.
**Preferred technical and professional experience**
- Additional Data Integration Tools: Exposure to other data integration tools beyond Informatica, Ab Initio software, and DataStage can be beneficial in this role. - Advanced ETL Techniques: Experience working with advanced ETL techniques and methodologies can enhance the ability to design and implement efficient data integration solutions. - Business Intelligence Platforms: Familiarity with various business intelligence platforms can support the development of effective data integration solutions.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
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Apply Now
8
Data Engineer, Aladdin Data, Associate
Posted 5 days ago
Job Viewed
Job Description
**About this role**
**Overview**
The Associate - Data Platform Engineer engages in projects from the start, including:
+ Refining requirements
+ Designing, developing, testing, deploying, and maintaining Enterprise Data Platform (EDP) enabling core framework components
Key tasks include:
+ Automating data pipelines
+ Supporting teams using the framework
+ Adhering to data platform standards
+ Enhancing performance and scalability
**Responsibilities**
+ Actively participate in chapter ceremony meetings and contribute to project planning and estimation
+ Coordinate work with product managers, data owners, platform teams, and other stakeholders throughout the SDLC cycle
+ Use Airflow, Python, Snowflake, dbt, and related technologies to enhance and maintain EDP acquisition, ingestion, processing, orchestration and DQ frameworks
+ Adopt new tools and technologies to enhance framework capabilities
+ Build and conduct end-to-end tests to ensure production operations run successfully after every release cycle
+ Document and present accomplishments and challenges to internal and external stakeholders
+ Demonstrate deep understanding of modern data engineering tools and best practices
+ Design and build solutions which are performant, consistent, and scalable
+ Contribute to design decisions for complex systems
+ Provide L2 / L3 support for technical and/or operational issues
**Qualifications**
+ At least 5+ years' experience as a data engineer
+ Expertise with SQL, stored procedures, UDFs
+ Advanced level Python programming
+ Experience with Snowflake or similar cloud native databases
+ Experience with orchestration tools, especially Airflow
+ Experience with declarative transformation tools like dbt
+ Experience in Azure services, especially ADLS (or equivalent)
+ Exposure to real time streaming platforms and message brokers (e.g., Snowpipe Streaming, Kafka)
+ Experience with Agile development concepts and related tools (ADO, Aha)
+ Experience conducting root cause analysis and solve issues
+ Experience with performance tuning
+ Excellent written and verbal communication skills
+ Ability to operate in a matrixed organization and fast-paced environment
+ Strong interpersonal skills with a can-do attitude under challenging circumstances
+ Bachelor's degree in computer science is strongly preferred
**Our benefits**
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
**Our hybrid work model**
BlackRock's hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person - aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.
**Guidance on AI use for candidates**
At BlackRock, AI has long been part of how we work - enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we've provided **guidance** on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.
**About BlackRock**
At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children's educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.
This mission would not be possible without our smartest investment - the one we make in our employees. It's why we're dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.
To learn more about BlackRock, please visit Careers.BlackRock.com . We also encourage you to get to know us on LinkedIn , Instagram , YouTube , X , and TikTok .
BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.
**Overview**
The Associate - Data Platform Engineer engages in projects from the start, including:
+ Refining requirements
+ Designing, developing, testing, deploying, and maintaining Enterprise Data Platform (EDP) enabling core framework components
Key tasks include:
+ Automating data pipelines
+ Supporting teams using the framework
+ Adhering to data platform standards
+ Enhancing performance and scalability
**Responsibilities**
+ Actively participate in chapter ceremony meetings and contribute to project planning and estimation
+ Coordinate work with product managers, data owners, platform teams, and other stakeholders throughout the SDLC cycle
+ Use Airflow, Python, Snowflake, dbt, and related technologies to enhance and maintain EDP acquisition, ingestion, processing, orchestration and DQ frameworks
+ Adopt new tools and technologies to enhance framework capabilities
+ Build and conduct end-to-end tests to ensure production operations run successfully after every release cycle
+ Document and present accomplishments and challenges to internal and external stakeholders
+ Demonstrate deep understanding of modern data engineering tools and best practices
+ Design and build solutions which are performant, consistent, and scalable
+ Contribute to design decisions for complex systems
+ Provide L2 / L3 support for technical and/or operational issues
**Qualifications**
+ At least 5+ years' experience as a data engineer
+ Expertise with SQL, stored procedures, UDFs
+ Advanced level Python programming
+ Experience with Snowflake or similar cloud native databases
+ Experience with orchestration tools, especially Airflow
+ Experience with declarative transformation tools like dbt
+ Experience in Azure services, especially ADLS (or equivalent)
+ Exposure to real time streaming platforms and message brokers (e.g., Snowpipe Streaming, Kafka)
+ Experience with Agile development concepts and related tools (ADO, Aha)
+ Experience conducting root cause analysis and solve issues
+ Experience with performance tuning
+ Excellent written and verbal communication skills
+ Ability to operate in a matrixed organization and fast-paced environment
+ Strong interpersonal skills with a can-do attitude under challenging circumstances
+ Bachelor's degree in computer science is strongly preferred
**Our benefits**
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
**Our hybrid work model**
BlackRock's hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person - aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.
**Guidance on AI use for candidates**
At BlackRock, AI has long been part of how we work - enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we've provided **guidance** on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.
**About BlackRock**
At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children's educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.
This mission would not be possible without our smartest investment - the one we make in our employees. It's why we're dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.
To learn more about BlackRock, please visit Careers.BlackRock.com . We also encourage you to get to know us on LinkedIn , Instagram , YouTube , X , and TikTok .
BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.
Is this job a match or a miss?
Apply Now
9