MetLife
MetLife•10h ago
Foundit

Data Engineer

Pune, India
Full Time
Mid Level

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Full Job Description

Key Responsibilities
  • Develop and maintain assigned data pipelines using Azure Databricks, PySpark, Spark SQL, SQL, and Delta Lake, building Bronze/Silver/Gold objects adhering to medallion standards.
  • Assist with converting legacy Informatica mappings, SQL, and stored procedures into Databricks processing; support migration of inbound/outbound HR integrations including Oracle HCM feeds.
  • Implement source-to-target mappings and transformation specs; build logical/physical dimensional models for HR data domains under senior direction.
  • Perform data profiling, unit testing, defect resolution; establish data-quality/reconciliation checks comparing legacy vs. target-state outputs during parallel runs.
  • Produce clear technical documentation including mappings, dictionaries, test cases, runbooks following established standards.
  • Follow MetLife requirements for sensitive HR data handling via Unity Catalog and approved governance practices.
  • Participate in agile ceremonies; incorporate code-review feedback; provide overlap with U.S. Eastern Time.
Required Qualifications
  • Bachelor's degree or equivalent experience with 2+ years in data engineering, ETL, or platform delivery.
  • Azure Databricks & Spark: 1+ year exposure to PySpark/Delta Lake plus Python/SQL proficiency.
  • Data fundamentals covering ETL/ELT, medallion architecture, modeling keys/dimensions, and source-to-target mappings.
  • Willingness to leverage AI/Copilot tooling for development acceleration.
  • Curious, detail-oriented, coachable with strong communication skills in distributed agile teams.
Preferred Qualifications
  • 1–2 years exposure to data migration/ETL modernization (e.g., Informatica-to-Databricks).
  • Azure ecosystem expertise: Data Lake Storage, Factory, DevOps, Synapse/Purview, Git CI/CD.
  • HR domain knowledge via Oracle HCM Cloud extracts or workforce/talent data experience.
  • Certifications in Microsoft Azure/Databricks and support of U.S. enterprise clients.
  • Experience in insurance, financial services, HR tech, or regulated environments.

Company

MetLife

MetLife

MetLife is a leading global insurance and financial services company, known for its commitment to innovation in data engineering within highly regulated environments.

Pune, India
Posted on Foundit

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