Designs, builds, maintains, monitors, and optimizes scalable ETL/ELT pipelines for structured and unstructured data across Azure and on-premises environments. The role supports batch and real-time processing, data quality, security, compliance, and performance tuning. It collaborates with business, technology, operations, governance, architecture, data science, DevOps, and BI teams to deliver production-grade data and analytics solutions.
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
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!
#BI-Hybrid
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
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!
#BI-Hybrid
Similar Jobs at MetLife
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Designs, builds, maintains, and optimizes cloud or on-premises ETL/ELT pipelines for large-scale batch and real-time data processing. Ensures reliability, scalability, data quality, security, and compliance. Collaborates with business and technology partners across data governance, architecture, modeling, science, DevOps, and BI. Mentors data engineers and independently leads solution design, estimation, and delivery.
Top Skills:
AzureBig DataData PipelinesEltETL
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Develops, maintains, and modernizes COBOL applications on AS400/IBM i-Series platforms supporting critical insurance systems. Responsibilities include production support, incident analysis, performance optimization, system integration, deployments, testing, code reviews, documentation, and Agile delivery. The engineer collaborates with business, product, infrastructure, and platform teams while contributing to modernization, knowledge transfer, and reliable operation of legacy applications.
Top Skills:
AgileBatch ProcessingCi/CdClCloudCobolDevsecopsHybrid ArchitecturesIbm As400Ibm I-SeriesJob SchedulingRpg
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Develop and maintain full-stack software and platform solutions for disability and absence products. Responsibilities include designing systems, frameworks, applications, APIs, and databases; developing with React or Angular, Java, SQL, microservices, Kubernetes, and cloud platforms; participating in code reviews, testing, deployment, incident resolution, production support, Agile planning, and user-story refinement.
Top Skills:
AngularAWSAzure DevopsCosmos DbCotsGCPJavaJavaScriptJSONKafkaKubernetesMessage BrokersMicroservicesAzureMongoDBPythonReactSaaSSQL
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.
