Design and maintain ETL pipelines, monitor data processing, ensure compliance, mentor Data Engineers, and collaborate across teams to solve business problems.
Description and Requirements
GG11.1 Role Value Proposition Data Engineer plays a critical role in data and analytics life cycle and significantly contributes to production grade data and analytics solutions. The role requires one to demonstrate Big Data, Engineering and Cloud expertise. This role mentors Data engineers. It is an individual contributor role, expected to solve wide ranging business problems, Experience 8-10+ years of relevant experience Education Bachelors degree in computer science, information technology or equivalent educational qualification Responsibilities • Design, build, and maintain robust ETL/ELT pipelines on cloud(Azure) or on-prem to collect, ingest and store large volumes of structured and unstructured data for batch/real time processing• Monitor, optimize, and troubleshoot data pipelines to ensure reliability, scalability, and performance• Ensure data processing, quality, security, and compliance guidelines, policies and standards are followed• Collaborate with multiple partners from Business, Technology, Operations and D&A capabilities (Data Governance, Data Quality, Data Modeling, Data Architecture, Data science, DevOps, BI & insights) • Mentor Data Engineers• Independently lead design, solutioning & estimations Technical Skills • SQL, Python/Scala• NoSql and distributed databases (Hbase, Cosmos DB)• ETL pipleine design and development; Solutioning and estimation• Big Data Frameworks : Apache Spark, Hadoop, Hive• Cloud platforms: Azure data factory, Eventhub, Azure functions, Synapse, Databricks• Datawarehouses, data marts, data lakes• Medallion architecture• Performance tuning, optimization, and data quality validation• Real-time and batch data processing , streaming pieplines with Spark• Communication skills, analytical skills, structured problem-solving skills, mentorship skills• Mentorship experience• Storytelling skills , Partner & Stakeholder engagement experience Good To have • DevOps practices: Git, AzureDevops, CI/CD pipelines• Unix shell scripting, Kafka,MongoDB, Nifi• Exposure to Gen AI technology and tools• Banking Financial Services and Insurance domain knowledge
About MetLife
Recognized on Fortune magazine's list of the "World's Most Admired Companies" and Fortune World's 25 Best Workplaces™, MetLife, through its subsidiaries and affiliates, is one of the world's leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.
Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we're inspired to transform the next century in financial services. At MetLife, it's #AllTogetherPossible . Join us!
#BI-Hybrid
GG11.1 Role Value Proposition Data Engineer plays a critical role in data and analytics life cycle and significantly contributes to production grade data and analytics solutions. The role requires one to demonstrate Big Data, Engineering and Cloud expertise. This role mentors Data engineers. It is an individual contributor role, expected to solve wide ranging business problems, Experience 8-10+ years of relevant experience Education Bachelors degree in computer science, information technology or equivalent educational qualification Responsibilities • Design, build, and maintain robust ETL/ELT pipelines on cloud(Azure) or on-prem to collect, ingest and store large volumes of structured and unstructured data for batch/real time processing• Monitor, optimize, and troubleshoot data pipelines to ensure reliability, scalability, and performance• Ensure data processing, quality, security, and compliance guidelines, policies and standards are followed• Collaborate with multiple partners from Business, Technology, Operations and D&A capabilities (Data Governance, Data Quality, Data Modeling, Data Architecture, Data science, DevOps, BI & insights) • Mentor Data Engineers• Independently lead design, solutioning & estimations Technical Skills • SQL, Python/Scala• NoSql and distributed databases (Hbase, Cosmos DB)• ETL pipleine design and development; Solutioning and estimation• Big Data Frameworks : Apache Spark, Hadoop, Hive• Cloud platforms: Azure data factory, Eventhub, Azure functions, Synapse, Databricks• Datawarehouses, data marts, data lakes• Medallion architecture• Performance tuning, optimization, and data quality validation• Real-time and batch data processing , streaming pieplines with Spark• Communication skills, analytical skills, structured problem-solving skills, mentorship skills• Mentorship experience• Storytelling skills , Partner & Stakeholder engagement experience Good To have • DevOps practices: Git, AzureDevops, CI/CD pipelines• Unix shell scripting, Kafka,MongoDB, Nifi• Exposure to Gen AI technology and tools• Banking Financial Services and Insurance domain knowledge
About MetLife
Recognized on Fortune magazine's list of the "World's Most Admired Companies" and Fortune World's 25 Best Workplaces™, MetLife, through its subsidiaries and affiliates, is one of the world's leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.
Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we're inspired to transform the next century in financial services. At MetLife, it's #AllTogetherPossible . Join us!
#BI-Hybrid
Similar Jobs at MetLife
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Design and implement scalable, responsive front-end applications using React and modern web technologies; integrate with Java/Spring Boot microservices; enforce front-end best practices, testing, performance, security, and accessibility; participate in solution design, code reviews, Agile ceremonies, and L3 issue resolution.
Top Skills:
Ant DesignBambooBitbucketBootstrapCi/CdContext ApiCore JavaCSS3GitGulpHTML5Javascript (Es6+)JenkinsJestJSONLessMaterial UiMicroservicesNpmReact Testing LibraryReactReduxRestful ApisSassSpring BootSpring FrameworkTypescriptViteWebpackYarn
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Lead design and execution of data governance policies, metadata management, lineage, and stewardship. Develop standards, tools, and training; manage governance platforms (e.g., Collibra); identify Critical Data Elements; monitor metrics and SLAs; resolve governance issues; collaborate across Business, Technology, and D&A teams; and provide people leadership to coach and develop data governance talent.
Top Skills:
CollibraGen AiSQL
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Lead the India-based Enterprise Data and AI Governance (EDAG) team, owning talent sourcing, onboarding, people leadership, and local execution aligned to enterprise priorities. Drive staffing, skill development, succession planning, cross-training, and operational resilience while partnering with onshore leaders and stakeholders to maintain governance capabilities and deliver trusted data and AI risk controls.
Top Skills:
SafeScrum
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
