25,006 Database Developers jobs in India
Senior Data Engineer / Data Engineer
Posted today
Job Viewed
Job Description
Desired Experience: 3-8 years
Salary: Best-in-industry
Location: Gurgaon ( 5 days onsite)
Overview:
You will act as a key member of the Data consulting team, working directly with the partners and senior stakeholders of the clients designing and implementing big data and analytics solutions. Communication and organisation skills are keys for this position, along with a problem-solution attitude.
What is in it for you:
Opportunity to work with a world class team of business consultants and engineers solving some of the most complex business problems by applying data and analytics techniques
Fast track career growth in a highly entrepreneurial work environment
Best-in-industry renumeration package
Essential Technical Skills:
Technical expertise with emerging Big Data technologies, such as: Python, Spark, Hadoop, Clojure, Git, SQL and Databricks; and visualization tools: Tableau and PowerBI
Experience with cloud, container and micro service infrastructures
Experience working with divergent data sets that meet the requirements of the Data Science and Data Analytics teams
Hands-on experience with data modelling, query techniques and complexity analysis
Desirable Skills:
Experience/Knowledge of working in an agile environment and experience with agile methodologies such as Scrum
Experience of working with development teams and product owners to understand their requirement
Certifications on any of the above areas will be preferred.
Your duties will include:
Develop data solutions within a Big Data Azure and/or other cloud environments
Working with divergent data sets that meet the requirements of the Data Science and Data Analytics teams
Build and design Data Architectures using Azure Data factory, Databricks, Data lake, Synapse
Liaising with CTO, Product Owners and other Operations teams to deliver engineering roadmaps showing key items such as upgrades, technical refreshes and new versions
Perform data mapping activities to describe source data, target data and the high-level or detailed transformations that need to occur;
Assist Data Analyst team in developing KPIs and reporting in tools viz. Power BI, Tableau
Data Integration, Transformation, Modelling
Maintaining all relevant documentation and knowledge bases
Research and suggest new database products, services and protocols
Essential Personal Traits:
You should be able to work independently and communicate effectively with remote teams.
Timely communication/escalation of issues/dependencies to higher management.
Curiosity to learn and apply emerging technologies to solve business problems
** Interested candidate please send thier resume on - and **
Data Engineer- Lead Data Engineer
Posted today
Job Viewed
Job Description
Role Overview
We are seeking an experienced Lead Data Engineer to join our Data Engineering team at Paytm, India's leading digital payments and financial services platform. This is a critical role responsible for designing, building, and maintaining large-scale, real-time data streams that process billions of transactions and user interactions daily. Data accuracy and stream reliability are essential to our operations, as data quality issues can result in financial losses and impact customer trust.
As a Lead Data Engineer at Paytm, you will be responsible for building robust data systems that support India's largest digital payments ecosystem. You'll architect and implement reliable, real-time data streaming solutions where precision and data correctness are fundamental requirements . Your work will directly support millions of users across merchant payments, peer-to-peer transfers, bill payments, and financial services, where data accuracy is crucial for maintaining customer confidence and operational excellence.
This role requires expertise in designing fault-tolerant, scalable data architectures that maintain high uptime standards while processing peak transaction loads during festivals and high-traffic events. We place the highest priority on data quality and system reliability, as our customers depend on accurate, timely information for their financial decisions. You'll collaborate with cross-functional teams including data scientists, product managers, and risk engineers to deliver data solutions that enable real-time fraud detection, personalized recommendations, credit scoring, and regulatory compliance reporting.
Key technical challenges include maintaining data consistency across distributed systems with demanding performance requirements, implementing comprehensive data quality frameworks with real-time validation, optimizing query performance on large datasets, and ensuring complete data lineage and governance across multiple business domains. At Paytm, reliable data streams are fundamental to our operations and our commitment to protecting customers' financial security and maintaining India's digital payments infrastructure.
Key Responsibilities
Data Stream Architecture & Development Design and implement reliable, scalable data streams handling high-volume transaction data with strong data integrity controlsBuild real-time processing systems using modern data engineering frameworks (Java/Python stack) with excellent performance characteristicsDevelop robust data ingestion systems from multiple sources with built-in redundancy and monitoring capabilitiesImplement comprehensive data quality frameworks, ensuring the 4 C's: Completeness, Consistency, Conformity, and Correctness - ensuring data reliability that supports sound business decisionsDesign automated data validation, profiling, and quality monitoring systems with proactive alerting capabilities Infrastructure & Platform Management Manage and optimize distributed data processing platforms with high availability requirements to ensure consistent service deliveryDesign data lake and data warehouse architectures with appropriate partitioning and indexing strategies for optimal query performanceImplement CI/CD processes for data engineering workflows with comprehensive testing and reliable deployment proceduresEnsure high availability and disaster recovery for critical data systems to maintain business continuity
Performance & Optimization Monitor and optimize streaming performance with focus on latency reduction and operational efficiencyImplement efficient data storage strategies including compression, partitioning, and lifecycle management with cost considerationsTroubleshoot and resolve complex data streaming issues in production environments with effective response protocolsConduct proactive capacity planning and performance tuning to support business growth and data volume increases
Collaboration & Leadership Work closely with data scientists, analysts, and product teams to understand important data requirements and service level expectationsMentor junior data engineers with emphasis on data quality best practices and customer-focused approachParticipate in architectural reviews and help establish data engineering standards that prioritize reliability and accuracyDocument technical designs, processes, and operational procedures with focus on maintainability and knowledge sharing
Required Qualifications
Experience & Education Bachelor's or Master's degree in Computer Science, Engineering, or related technical field
7+ years (Senior) of hands-on data engineering experience
Proven experience with large-scale data processing systems (preferably in fintech/payments domain)
Experience building and maintaining production data streams processing TB/PB scale data with strong performance and reliability standards
Technical Skills & RequirementsProgramming Languages:
Expert-level proficiency in both Python and Java; experience with Scala preferred
Big Data Technologies: Apache Spark (PySpark, Spark SQL, Spark with Java), Apache Kafka, Apache Airflow
Cloud Platforms: AWS (EMR, Glue, Redshift, S3, Lambda) or equivalent Azure/GCP services
Databases: Strong SQL skills, experience with both relational (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Cassandra, Redis)
Data Quality Management: Deep understanding of the 4 C's framework - Completeness, Consistency, Conformity, and Correctness
Data Governance: Experience with data lineage tracking, metadata management, and data cataloging
Data Formats & Protocols: Parquet, Avro, JSON, REST APIs, GraphQL Containerization & DevOps: Docker, Kubernetes, Git, GitLab/GitHub with CI/CD pipeline experience
Monitoring & Observability: Experience with Prometheus, Grafana, or similar monitoring tools
Data Modeling: Dimensional modeling, data vault, or similar methodologies
Streaming Technologies: Apache Flink, Kinesis, or Pulsar experience is a plus
Infrastructure as Code: Terraform, CloudFormation (preferred)
Java-specific: Spring Boot, Maven/Gradle, JUnit for building robust data services
Preferred Qualifications
Domain Expertise
Previous experience in fintech, payments, or banking industry with solid understanding of regulatory compliance and financial data requirementsUnderstanding of financial data standards, PCI DSS compliance, and data privacy regulations where compliance is essential for business operationsExperience with real-time fraud detection or risk management systems where data accuracy is crucial for customer protection
Advanced Technical Skills (Preferred)
Experience building automated data quality frameworks covering all 4 C's dimensionsKnowledge of machine learning stream orchestration (MLflow, Kubeflow)Familiarity with data mesh or federated data architecture patternsExperience with change data capture (CDC) tools and techniques
Leadership & Soft Skills Strong problem-solving abilities with experience debugging complex distributed systems in production environmentsExcellent communication skills with ability to explain technical concepts to diverse stakeholders while highlighting business valueExperience mentoring team members and leading technical initiatives with focus on building a quality-oriented cultureProven track record of delivering projects successfully in dynamic, fast-paced financial technology environments
What We Offer
Opportunity to work with cutting-edge technology at scaleCompetitive salary and equity compensation
Comprehensive health and wellness benefits
Professional development opportunities and conference attendanceFlexible working arrangements
Chance to impact millions of users across India's digital payments ecosystem
Application Process
Interested candidates should submit:
Updated resume highlighting relevant data engineering experience with emphasis on real-time systems and data quality
Portfolio or GitHub profile showcasing data engineering projects, particularly those involving high-throughput streaming systems
Cover letter explaining interest in fintech/payments domain and understanding of data criticality in financial services
References from previous technical managers or senior colleagues who can attest to your data quality standards
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Senior Data Engineer / Data Engineer
Posted today
Job Viewed
Job Description
LOOKING FOR IMMEDIATE JOINERS OR 15 DAYS NOTICE PERIODS AND THIS IS WORK FROM HOME OPPORTUNITY
Position: Senior Data Engineer / Data Engineer
Desired Experience: 3-8 years
Salary: Best-in-industry
You will act as a key member of the Data consulting team, working directly with the partners and senior
stakeholders of the clients designing and implementing big data and analytics solutions. Communication
and organisation skills are keys for this position, along with a problem-solution attitude.
What is in it for you:
Opportunity to work with a world class team of business consultants and engineers solving some of
the most complex business problems by applying data and analytics techniques
Fast track career growth in a highly entrepreneurial work environment
Best-in-industry renumeration package
Essential Technical Skills:
Technical expertise with emerging Big Data technologies, such as: Python, Spark, Hadoop, Clojure,
Git, SQL and Databricks; and visualization tools: Tableau and PowerBI
Experience with cloud, container and micro service infrastructures
Experience working with divergent data sets that meet the requirements of the Data Science and
Data Analytics teams
Hands-on experience with data modelling, query techniques and complexity analysis
Desirable Skills:
Experience/Knowledge of working in an agile environment and experience with agile
methodologies such as Scrum
Experience of working with development teams and product owners to understand their
requirement
Certifications on any of the above areas will be preferred.
Your duties will include:
Develop data solutions within a Big Data Azure and/or other cloud environments
Working with divergent data sets that meet the requirements of the Data Science and Data Analytics
teams
Build and design Data Architectures using Azure Data factory, Databricks, Data lake, Synapse
Liaising with CTO, Product Owners and other Operations teams to deliver engineering roadmaps
showing key items such as upgrades, technical refreshes and new versions
Perform data mapping activities to describe source data, target data and the high-level or
detailed transformations that need to occur;
Assist Data Analyst team in developing KPIs and reporting in tools viz. Power BI, Tableau
Data Integration, Transformation, Modelling
Maintaining all relevant documentation and knowledge bases
Research and suggest new database products, services and protocols
Essential Personal Traits:
You should be able to work independently and communicate effectively with remote teams.
Timely communication/escalation of issues/dependencies to higher management.
Curiosity to learn and apply emerging technologies to solve business problems
Data Engineer/ Senior Data Engineer
Posted today
Job Viewed
Job Description
| Job Title | Data Engineer |
| Local Job Title | Data Engineer |
| Reports To | BIA Manager |
Position Summary:
The BIA Data Engineer Designs, implements, and maintains complex data engineering solutions in the Business Intelligence and Analytics team
Responsible for design, development, implementation, testing, documentation, and support of analytical and data solutions/projects requiring data aggregation/data pipelines/ETL/ELT from multiple sources into an efficient reporting mechanism, database/data warehouse using appropriate tools like Informatica, Azure Data Factory, SSIS. This includes interacting with business to gather requirements, analysis, and creation of functional and technical specs, testing, training, escalation, and follow-up.
Support of the applications would include resolving issues reported by users. Issues could be caused by bugs in the application or user errors or programming errors. Resolution process will include, but not limited to, investigate known bugs on software vendor support website, create tickets or service requests with software vendor, develop scripts to fix data issues, make program changes, test fixes and apply the changes to production.
These tasks and activities will be completed with the help and under the guidance of the supervisor. Participation in team and / or project meetings, to schedule work and discuss status, will be required.
The position also requires staying abreast with changes in technology, programming languages, and software development tools.
Duties
| Data Pipeline/ETL (40%): Designs and implements data stores and ETL data flows and data pipelines to connect and prepare operational systems data for analytics and business intelligence (BI) systems. |
| Support & Operations (10%): Manages production deployments and automation, monitoring, job control and production support. Works with business users to test programs in Development and Quality. Investigates issues using vendor support website(s). |
| Data Modeling/Designing Datasets (10%): Reviews and understands business requirements for development tasks assigned and applies standard data modelling and design techniques based upon a detailed understanding of requirements. |
| Data Architecture and Technical Infrastructure (10%): Plans and drives the development of data engineering solutions ensuring that solutions balance functional and non-functional requirements. Monitors application of data standards and architectures including security and compliance. |
| SDLC Methodology & Project Management (5%): Contributes to technical transitions between development, testing, and production phases of solutions' lifecycle, and the facilitation of the change control, problem management, and communication processes. |
| Data Governance and Data Quality (5%): Identifies and investigates data quality/integrity problems, determine impact and provide solutions to problems. |
| Metadata Management & Documentation (5%): Documents all processes and mappings related to Data Pipelines work and follows development best practices as adopted by the BIA team |
| End-User Support, Education and Enablement (5%): Contributes to training and Data Literacy initiatives within the team and End user community. |
| Innovation, Continuous Improvement & Optimization (5%): Continuously improves and optimizes existing Data Engineering assets/processes. |
| Partnership and Community Building (5%): Collaborates with other IT teams, Business Community, data scientists and other architects to meet business requirements. Interact with DBAs on data designs optimal for data engineering solutions performance. |
VDart: Digital Consulting & Staffing Solutions
VDart is a leading digital consulting and staffing company founded in 2007 and headquartered in Alpharetta, Georgia. VDart is one of the top staffing companies in USA & also provides technology solutions, supporting businesses in their digital transformation journey. Digital consulting services, Digital consulting agency
Core Services:
- Digital consulting and transformation solutions
- Comprehensive staffing services (contract, temporary, permanent placements)
- Talent management and workforce solutions
- Technology implementation services
Key Industries: VDart primarily serves industries such as automotive and mobility, banking and finance, healthcare and life sciences, and energy and utilities. VDart - Products, Competitors, Financials, Employees, Headquarters Locations
Notable Partnership: VDart Digital has been a consistently strong supplier for Toyota since 2017 Digital Transformation Consulting & Strategy Services | VDart Digital , demonstrating their capability in large-scale digital transformation projects.
With over 17 years of experience, VDart combines staffing expertise with technology solutions to help organizations modernize their operations and build skilled workforce capabilities across multiple sectors.
Data Engineer- Lead Data Engineer
Posted today
Job Viewed
Job Description
Data Engineer
Posted today
Job Viewed
Job Description
The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling.
Data Engineering ensures raw data is usable and accessible for the organization. Data Engineering encompasses numerous specialties of data acquisition, integration, and provisioning.
**_Qualifications_**
+ 4-8 years of experience, preferred
+ Bachelor's degree in related field, or equivalent work experience, preferred
**_What is expected of you and others at this level_**
+ Applies comprehensive knowledge and a thorough understanding of concepts, principles, and technical capabilities to perform varied tasks and projects
+ May contribute to the development of policies and procedures
+ Works on complex projects of large scope
+ Develops technical solutions to a wide range of difficult problems
+ Solutions are innovative and consistent with organization objectives
+ Completes work; independently receives general guidance on new projects
+ Work reviewed for purpose of meeting objectives
+ May act as a mentor to less experienced colleagues
_Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._
_Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._
_To read and review this privacy notice click_ here (
Data Engineer
Posted today
Job Viewed
Job Description
The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling.
Data Engineering ensures raw data is usable and accessible for the organization. Data Engineering encompasses numerous specialties of data acquisition, integration, and provisioning.
**_Qualifications_**
+ 4-8 years of experience, preferred
+ Bachelor's degree in related field, or equivalent work experience, preferred
**_What is expected of you and others at this level_**
+ Applies comprehensive knowledge and a thorough understanding of concepts, principles, and technical capabilities to perform varied tasks and projects
+ May contribute to the development of policies and procedures
+ Works on complex projects of large scope
+ Develops technical solutions to a wide range of difficult problems
+ Solutions are innovative and consistent with organization objectives
+ Completes work; independently receives general guidance on new projects
+ Work reviewed for purpose of meeting objectives
+ May act as a mentor to less experienced colleagues
_Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._
_Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._
_To read and review this privacy notice click_ here (
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Data Engineer
Posted 1 day ago
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Job Description
Come join us to create what's next. Let's define tomorrow, together.
**Description**
United's Digital Technology team designs, develops, and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions.
Find your future at United! We're reinventing what our industry looks like, and what an airline can be - from the planes we fly to the people who fly them. When you join us, you're joining a global team of 100,000+ connected by a shared passion with a wide spectrum of experience and skills to lead the way forward.
Achieving our ambitions starts with supporting yours. Evolve your career and find your next opportunity. Get the care you need with industry-leading health plans and best-in-class programs to support your emotional, physical, and financial wellness. Expand your horizons with travel across the world's biggest route network. Connect outside your team through employee-led Business Resource Groups.
Create what's next with us. Let's define tomorrow together.
**Job overview and responsibilities**
Data Engineering organization is responsible for driving data driven insights & innovation to support the data needs for commercial and operational projects with a digital focus.
· Data Engineer will be responsible to partner with various teams to define and execute data acquisition, transformation, processing and make data actionable for operational and analytics initiatives that create sustainable revenue and share growth
· Design, develop, and implement streaming and near-real time data pipelines that feed systems that are the operational backbone of our business
· Execute unit tests and validating expected results to ensure accuracy & integrity of data and applications through analysis, coding, writing clear documentation and problem resolution.
· This role will also drive the adoption of data processing and analysis within the Hadoop environment and help cross train other members of the team.
· Leverage strategic and analytical skills to understand and solve customer and business centric questions
· Coordinate and guide cross-functional projects that involve team members across all areas of the enterprise, vendors, external agencies and partners
· Leverage data from a variety of sources to develop data marts and insights that provide a comprehensive understanding of the business
· Develop and implement innovative solutions leading to automation
· Use of Agile methodologies to manage projects
**This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded. This position is for United Airlines Business Services Pvt. Ltd - a wholly owned subsidiary of United Airlines Inc.**
**Qualifications**
**What's needed to succeed (Minimum Qualifications):**
· BS/BA in Computer Science or a related STEM field.
· 2+ years in IT/software development with hands-on expertise in Java, Python, Scala.
· 2+ years with Big Data technologies (PySpark, Hadoop, Hive, Kafka, Airflow).
· 2+ years with RDBMS and Data Warehouse (SQL Server, Oracle, Redshift).
· Experience/understanding of LLMs and LangChain/Lang Graph frameworks.
· Problem-solving mindset with curiosity, creativity, and attention to detail.
· Legally authorized to work in India without sponsorship.
· Fluent in English and Hindi (written and spoken).
**What will help you propel from the pack (Preferred Qualifications):**
· Master's degree in computer science or related STEM field.
· Experience with **cloud platforms** (AWS, Azure, GCP); AWS certification preferred.
· Understanding of ML frameworks and LLM-based solutions.
· Proficiency in SQL, including performance tuning and troubleshooting.
· Experience in **transportation/airline industry** data engineering.
· Proven success with Agile practices, CI/CD, and scalable architectures.
· Strong problem-solving skills with deep knowledge of Big Data ecosystems.
Data Engineer
Posted 1 day ago
Job Viewed
Job Description
At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward - always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.
**The Role**
Are you ready to dive headfirst into the captivating world of data engineering at Kyndryl? As a Data Engineer, you'll be the visionary behind our data platforms, crafting them into powerful tools for decision-makers. Your role? Ensuring a treasure trove of pristine, harmonized data is at everyone's fingertips.
As a Data Engineer at Kyndryl, you'll be at the forefront of the data revolution, crafting and shaping data platforms that power our organization's success. This role is not just about code and databases; it's about transforming raw data into actionable insights that drive strategic decisions and innovation.
In this role, you'll be engineering the backbone of our data infrastructure, ensuring the availability of pristine, refined data sets. With a well-defined methodology, critical thinking, and a rich blend of domain expertise, consulting finesse, and software engineering prowess, you'll be the mastermind of data transformation.
Your journey begins by understanding project objectives and requirements from a business perspective, converting this knowledge into a data puzzle. You'll be delving into the depths of information to uncover quality issues and initial insights, setting the stage for data excellence. But it doesn't stop there. You'll be the architect of data pipelines, using your expertise to cleanse, normalize, and transform raw data into the final dataset-a true data alchemist.
Armed with a keen eye for detail, you'll scrutinize data solutions, ensuring they align with business and technical requirements. Your work isn't just a means to an end; it's the foundation upon which data-driven decisions are made - and your lifecycle management expertise will ensure our data remains fresh and impactful.
So, if you're a technical enthusiast with a passion for data, we invite you to join us in the exhilarating world of data engineering at Kyndryl. Let's transform data into a compelling story of innovation and growth.
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**
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 Expertise
+ 6-8 years of experience working as a Data Engineer or in Azure cloud modernization
+ Good experience in Power BI for data visualization and dashboard development
+ Strong experience in developing data pipelines and using tools such as AWS Glue, Azure Databricks, Synapse, or Google Dataproc
+ Proficient in working with both relational and NoSQL databases, including PostgreSQL, DB2, and MongoDB
+ Excellent problem-solving, analytical, and critical thinking skills
+ Ability to manage multiple projects simultaneously while maintaining a high level of attention to detail
+ Expertise in data mining, data storage, and Extract-Transform-Load (ETL) processes
Preferred Technical and Professional Experience
+ Experience in Data Modelling, to create conceptual model of how data is connected and how it will be used in business processes
+ Professional certification, e.g., Open Certified Technical Specialist with Data Engineering Specialization
+ Cloud platform certification, e.g., AWS Certified Data Analytics - Specialty, Elastic Certified Engineer, Google Cloud Professional Data Engineer, or Microsoft Certified: Azure Data Engineer Associate
+ Understanding of social coding and Integrated Development Environments, e.g., GitHub and Visual Studio
+ Degree in a scientific discipline, such as Computer Science, Software Engineering, or Information Technology
**Being You**
Diversity is a whole lot more than what we look like or where we come from, it's how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we're not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you - and everyone next to you - the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That's the Kyndryl Way.
**What You Can Expect**
With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter - wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.
**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.
Data Engineer
Posted 1 day ago
Job Viewed
Job Description
At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward - always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.
**The Role**
Are you ready to dive headfirst into the captivating world of data engineering at Kyndryl? As a Data Engineer, you'll be the visionary behind our data platforms, crafting them into powerful tools for decision-makers. Your role? Ensuring a treasure trove of pristine, harmonized data is at everyone's fingertips.
As a Data Engineer at Kyndryl, you'll be at the forefront of the data revolution, crafting and shaping data platforms that power our organization's success. This role is not just about code and databases; it's about transforming raw data into actionable insights that drive strategic decisions and innovation.
In this role, you'll be engineering the backbone of our data infrastructure, ensuring the availability of pristine, refined data sets. With a well-defined methodology, critical thinking, and a rich blend of domain expertise, consulting finesse, and software engineering prowess, you'll be the mastermind of data transformation.
Your journey begins by understanding project objectives and requirements from a business perspective, converting this knowledge into a data puzzle. You'll be delving into the depths of information to uncover quality issues and initial insights, setting the stage for data excellence. But it doesn't stop there. You'll be the architect of data pipelines, using your expertise to cleanse, normalize, and transform raw data into the final dataset-a true data alchemist.
Armed with a keen eye for detail, you'll scrutinize data solutions, ensuring they align with business and technical requirements. Your work isn't just a means to an end; it's the foundation upon which data-driven decisions are made - and your lifecycle management expertise will ensure our data remains fresh and impactful.
So, if you're a technical enthusiast with a passion for data, we invite you to join us in the exhilarating world of data engineering at Kyndryl. Let's transform data into a compelling story of innovation and growth.
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**
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 Expertise
+ 6-8 years of experience working as a Data Engineer or in Azure cloud modernization
+ Good experience in Power BI for data visualization and dashboard development
+ Strong experience in developing data pipelines and using tools such as AWS Glue, Azure Databricks, Synapse, or Google Dataproc
+ Proficient in working with both relational and NoSQL databases, including PostgreSQL, DB2, and MongoDB
+ Excellent problem-solving, analytical, and critical thinking skills
+ Ability to manage multiple projects simultaneously while maintaining a high level of attention to detail
+ Expertise in data mining, data storage, and Extract-Transform-Load (ETL) processes
Preferred Technical and Professional Experience
+ Experience in Data Modelling, to create conceptual model of how data is connected and how it will be used in business processes
+ Professional certification, e.g., Open Certified Technical Specialist with Data Engineering Specialization
+ Cloud platform certification, e.g., AWS Certified Data Analytics - Specialty, Elastic Certified Engineer, Google Cloud Professional Data Engineer, or Microsoft Certified: Azure Data Engineer Associate
+ Understanding of social coding and Integrated Development Environments, e.g., GitHub and Visual Studio
+ Degree in a scientific discipline, such as Computer Science, Software Engineering, or Information Technology
**Being You**
Diversity is a whole lot more than what we look like or where we come from, it's how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we're not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you - and everyone next to you - the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That's the Kyndryl Way.
**What You Can Expect**
With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter - wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.
**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.