Big Data Engineer II

Description and Requirements

• MGCC GG 10.2 – Data Engineer II
• Position Title:
• MGCC GG 10.2 – Big Data Engineer II
• Function, Responsibility Level:
• Reports to (Responsibility Level): GG 11 or above
• Supervises:
• Location:
• Global Grade: 10
• Cost Center (85 series):
• Complexity: OSTG
• PID/s Load Mapping:
• Position Summary
• MetLife established a Global capability center (MGCC) in India to scale and mature Data & Analytics, technology and operations capabilities in a cost-effective manner and make MetLife future ready. The center is integral to Global Technology and Operations with a focus to protect & build MetLife IP, promote reusability and drive experimentation and innovation. The Data & Analytics team in India mirrors the Global D&A team with an objective to drive business value through trusted data, scaled capabilities, and actionable insights. The operating models consists of business aligned data officers- US, Japan and LatAm & Corporate functions enabled by enterprise COEs- data engineering, data governance and data science
• 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 . It is an individual contributor role, expected to independently function
• Job 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)
• Knowledge, Skills and Abilities
• Education
• Bachelor’s degree in computer science, information technology or equivalent educational qualification
• Technical Skills and Experience
• 5-8+ years of relevant experience
• SQL, Python/Scala • NoSql and distributed databases ( Hbase , Cosmos DB) • ETL pipleine development • 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., •Partner, Stakeholder engagement experience
• Good to Have (Preferred)
• DevOps practices: Git, AzureDevops , CI/CD pipelines • Unix shell scripting, MongoDB, Nifi • Exposure to Gen AI technology and tools
• 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!