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
Key Skills for This Role
SQLPythonScalaHBaseCosmos DBApache Spark
Full Job Posting
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 1 1 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
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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
Insurance46000 employeesFounded 1868
Global provider of insurance, annuities, and employee benefits.