India presents substantial opportunities for data engineer roles, reflecting the increasing demand for data-driven solutions. These positions are found across various industries, including IT, finance, and e-commerce. Skills in 17,372 Data Engineer jobs in India
Data Engineer-Data Modeling
Posted today
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Job Description
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
**Your role and responsibilities**
As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing.
* Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets.
* In this role, your responsibilities may include:
* Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques
* Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements
* Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours.
* Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results
**Required technical and professional expertise**
* 4+ years of experience in data modelling, data architecture.
* Proficiency in data modelling tools Erwin, IBM Infosphere Data Architect and database management systems
* Familiarity with different data models like relational, dimensional and NoSQL databases.
* Understanding of business processes and how data supports business decision making.
* Strong understanding of database design principles, data warehousing concepts, and data governance practices
**Preferred technical and professional experience**
* Excellent analytical and problem-solving skills with a keen attention to detail.
* Ability to work collaboratively in a team environment and manage multiple projects simultaneously.
* Knowledge of programming languages such as SQL
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.
Big Data Engineer, Data Modeling
Posted today
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Job Description
What can you tell your friends
when they ask you what you do?We’re looking for an experienced Big Data Engineer who can create innovative new products in the analytics and data space. You will participate in the development that creates the world's #1 mobile app analytics service. Together with the team, you will build out new product features and applications using agile methodologies and open-source technologies. You will work directly with Data Scientists, Data Engineers, Product Managers, and Software Architects, and will be on the front lines of coding new and exciting analytics and data mining products. You should be passionate about what you do and excited to join an entrepreneurial start-up.
To ensure we execute on our values we are looking for someone who has a passion for:
As a Big Data Engineer, we will need you to be in charge of model implementation and maintenance, and to build a clean, robust, and maintainable data processing program that can support these projects on huge amounts of data, this includes
You should recognize yourself in the following…
This position is located in Hyderabad, India.
We are hiring for our engineering team at our data.ai India subsidiary entity, which is in the process of getting established . As we are awaiting approval from the Indian government, they shall be interim employees at Innova Solutions who is our Global Employer of Record.
Data Engineer- Lead Data Engineer
Posted today
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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
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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
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
Data Engineer
Posted today
Job Viewed
Job Description
We are looking for a hands-on Data Engineer who is passionate about solving
business problems through innovation and engineering practices.
As a Data
Engineer, you will leverage your deep technical knowledge to drive the creation of
high-quality software products. You will also be expected to share your technical
expertise and promote a culture of technical excellence within the team. The Data
Engineer will work with a Team Lead and will be a code-contributing member of the
team that will deliver solutions against the sprint-level commitments.
Responsibilities
-
Code contributing member of an Agile team, working to deliver sprint goals.
-
Demonstrating technical knowledge and expertise in software development,
including programming languages, frameworks, and best practices.
-
Actively contributes to the implementation of features and technical
solutions. Write clean, efficient, and maintainable code that meets the
highest standards of quality.
-
Collaborate with other Engineers to define and evolve the overall system
architecture and design.
-
Provide guidance on scalable, robust, and efficient solutions that align with
business requirements and industry best practices.
-
Offer expert engineering guidance and support to multiple teams, helping
them overcome technical challenges, make informed decisions, and deliver
high-quality software solutions. Foster a culture of technical excellence and
continuous improvement.
-
Stay up to date with emerging technologies, tools, and industry trends.
Evaluate their potential impact on the organization and provide
recommendations for technology adoption and innovation.
Required Qualifications
-
0-2+ years' experience of implementing data-intensive solutions using agile
methodologies.
-
Proficient in one or more programming languages commonly used in data
engineering such as
Python, Java, or Scala.
-
Multiple years of experience with software engineering best practices (unit
testing, automation, design patterns, peer review, etc.)
-
Strong proficiency in working with relational databases and using SQL for
data querying, transformation, and manipulation.
-
Clear understanding of Data Structures and Object Oriented Principles.
-
Experience of modelling data for analytical consumers
-
Ability to automate and streamline the build, test and deployment of data
pipelines.
-
Proven experience of providing technical vision and guidance to a data team.
-
Thrives in a dynamic environment, capable of managing multiple tasks
simultaneously while maintaining a high standard of work.
-
BA/BS degree or equivalent work experience.
Preferred Qualifications
-
Experience with
Hadoop
for data storage and processing is valuable, as is
exposure to modern data platforms such as
Snowflake
and
Databricks
.
-
Multiple years of experience architecting and building horizontally scalable,
highly available, highly resilient, and low latency applications
-
Multiple years of experience with Cloud-native development and Container
Orchestration tools (Serverless, Docker, Kubernetes, OpenShift, etc.).
-
Familiarity with open-source data engineering tools and frameworks (e.g.
Spark
, Kafka, Beam, Flink, Trino, Airflow, DBT) is a valuable asset
-
Exposure to a range of table and file formats including Iceberg, Hive, Avro,
Parquet and JSON
-
Experience in cloud native technologies and patterns (AWS, Google Cloud)
-
Exposure to Infrastructure as Code tools (i.e., Terraform, Cloudformation,
etc.)
-
Experience of driving and/or influencing the data strategy of your team or
organization
Show all files ( Family Group:**
Technology
---
**Job Family:**
Digital Software Engineering
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**Time Type:**
Full time
---
**Most Relevant Skills**
Please see the requirements listed above.
---
**Other Relevant Skills**
For complementary skills, please see above and/or contact the recruiter.
---
_Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._
_If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review_ _Accessibility at Citi ( _._
_View Citi's_ _EEO Policy Statement ( _and the_ _Know Your Rights ( _poster._
Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.
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Data Engineer
Posted today
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Job Description
At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.
Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
Data Engineer
**What you will do**
Let's do this. Let's change the world. In this vital role you will be responsible for designing, building, maintaining, analyzing, and interpreting data to deliver actionable insights that drive business decisions.
This role involves working with large datasets, developing reports, supporting and performing data governance initiatives and, visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has deep technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes.
**Roles & Responsibilities:**
+ Design, develop, and maintain data solutions for data generation, collection, and processing
+ Be a crucial team member that assists in design and development of the data pipeline
+ Build data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems
+ Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions
+ Take ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks
+ Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs
+ Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency
+ Implement data security and privacy measures to protect sensitive data
+ Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions
+ Collaborate and communicate effectively with product teams
+ Collaborate with Data Architects, Business SMEs, and Data Scientists to design and develop end-to-end data pipelines to meet fast-paced business needs across geographic regions
+ Identify and resolve complex data-related challenges
+ Adhere to best practices for coding, testing, and designing reusable code/component
+ Explore new tools and technologies that will help to improve ETL platform performance
+ Participate in sprint planning meetings and provide estimations on technical implementation
**Basic Qualifications:**
**What we expect of you**
We are all different, yet we all use our unique contributions to serve patients. The (vital attribute) professional we seek is a (type of person) with these qualifications.
**Basic Qualifications:**
Master's degree / Bachelor's degree and 5 to 9 years
**Preferred Qualifications:**
**Must-Have Skills:**
+ Hands-on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), workflow orchestration, performance tuning on big data processing
+ Proficiency in data analysis tools (eg. SQL) and experience with data visualization tools
+ Excellent problem-solving skills and the ability to work with large, complex datasets
+ Solid understanding of data governance frameworks, tools, and best practices.
+ Knowledge of data protection regulations and compliance requirements
**Good-to-Have Skills:**
+ Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development
+ Good understanding of data modeling, data warehousing, and data integration concepts
+ Knowledge of Python/R, Databricks, SageMaker, cloud data platforms
**Professional Certifications**
+ Certified Data Engineer / Data Analyst (preferred on Databricks or cloud environments)
**What you can expect of us**
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.
In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.
**Apply now and make a lasting impact with the Amgen team.**
**careers.amgen.com**
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
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
+ 4-5 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
+ 4-5 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.