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. Besides contributing in individual capacity to solve wide ranging business problems, this role also leads and develops Data and Analytics talent
10-12+ years of relevant experience
Bachelors degree in computer science, information technology or equivalent educational qualification
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)
Independently lead design, solutioning & estimations
Provide people leadership: coach, develop and engage talent
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 & people leadership skills
Storytelling skills , Partner & Stakeholder engagement experience
People leadership: talent development & engagement experience
DevOps practices: Git, AzureDevops, CI/CD pipelines
Unix shell scripting, 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.
As part of our New Frontier strategy, MetLife is building an AI-enabled, people-centered future. We’re looking for people who bring curiosity, adaptability, and a growth mindset as we use AI to enhance how we serve customers, support communities, and evolve the way work gets done. At MetLife, AI is a responsible partner that supports human judgment, creativity, and continuous improvement while helping us build trust, inclusion, and long-term value.
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!
