Associate Big Data Engineer

General Information

Location

Pune, Maharashtra

Working Schedule

Full-Time

Work Arrangement

Hybrid

Relocation Assistance Available

No

Posted Date

24-Jun-2026

Job ID

18675

Description and Requirements

MGCC GG 9 – Associate Big Data Engineer

Position Title:

MGCC GG 9 – Associate Big Data Engineer

Function, Responsibility Level:

Reports to (Responsibility Level): GG 11 or above

Supervises:

Location:

Global Grade: 9

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 under the guidance of senior colleagues

Job Responsibilities

Under the guidance of senior colleagues- 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

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

3-5+ 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

Communication skills, analytical skills, structured problem-solving skills.,

Good to Have (Preferred)

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.

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!