Big Data Engineer-GG9 | Deepak Sharma

Job description

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