Associate Big Data Engineer

MetLife; Maharashtra; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

MetLife’s MGCC in India seeks an Associate Big Data Engineer to design and maintain robust big data pipelines on Azure, handling large structured and unstructured data for batch and real-time processing.

You will work with Data & Analytics teams across governance, modeling, architecture, and data science to deliver trusted insights and scalable data platforms.

Qualifications

• Bachelor’s degree in computer science, information technology or equivalent educational qualification.
• 3-5+ years of relevant experience.
• Proficiency with SQL, Python/Scala; NoSQL and distributed databases; ETL pipeline development; Spark/Hadoop/Hive; Azure data services.

Responsibilities

• Under 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 data for batch/real-time processing.
• Ensure data processing, quality, security, and compliance guidelines are followed.
• Collaborate with partners from Business, Technology, Operations and D&A capabilities (Data Governance, Data Quality, Data Modeling, Data Architecture, Data science, DevOps, BI & insights)

Skills

Experience 3-5 years

SQL

Python/Scala

NoSQL & distributed databases

ETL pipeline development

Big Data frameworks

Cloud platforms (Azure)

Data warehouses/data marts/lakes

Communication & analytical skills

Education

Bachelor’s degree in CS/IT

Tools

Azure Data Factory

Azure Synapse

Azure Databricks

Hadoop

Hive

Cosmos DB/HBase

Job description

Function, Responsibility Level

Reports to (Responsibility Level): GG 11 or above

Supervises

Location:

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