Job Description

Requirements

Description and Requirements

GG11.1

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 8-10+ years of relevant experience

Education Bachelors 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 pipleine design and development; Solutioning and estimation
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, mentorship skills
Mentorship experience
Storytelling skills , Partner & Stakeholder engagement experience

Good To have

DevOps practices: Git, AzureDevops, 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!