Senior Big Data Engineer-I

General Information

Location

Hyderabad, Telangana

Working Schedule

Full-Time

Work Arrangement

Hybrid

Relocation Assistance Available

No

Posted Date

24-Jun-2026

Job ID

18712

Description and Requirements

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 consist 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. This role mentors Data engineers. It is an individual contributor role, expected to solve wide ranging business problems,

Experience and Education:

1) 8-10+ years of relevant experience

2) Bachelor's 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 pipeline design and development; Solutioning and estimation

Big Data Frameworks: Apache Spark, Hadoop, Hive

Cloud platforms: Azure data factory, EventHub, Azure functions, Synapse, Databricks

Datawarehouse's, 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, Azure Dev ops, 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!