Software Engineer I

MetLife · Property & Casualty Insurance · Health Insurance & Benefits · Python · SQL · Power BI · Informatica · Azure Data Factory · 1 day ago
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Location
In office (Hyderabad)
Seniority
Junior
Employment
Full-Time

First seen by Alion on Nov 2, 2026.

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MetLife

MetLife is an insurance and financial services company that offers life insurance, annuities and employee benefits, and manages investments. It hires engineers, data and analytics leads and finance and infrastructure managers, with a large technology team in Kuala Lumpur. The company is headquartered in New York, United States.
metlife.com · HQ: New York, United States · Property & Casualty Insurance · Health Insurance & Benefits · Life Insurance & Annuities · 501-1000 employees
Tech stack of MetLife
Backed by Stone Point Capital
Summary

We are seeking a Senior Data Engineer to architect and build modern Azure-based data solutions, lead large-scale data platform modernization initiatives, and mentor junior engineers. The ideal candidate should have deep expertise in Azure Synapse Analytics, Databricks, Azure Data Factory (ADF), and modern data engineering practices. Experience with Informatica PowerCenter is a plus but not mandatory.

Key Responsibilities

  • Design and implement end-to-end Azure data architectures using Azure Synapse Analytics, Databricks, and ADLS Gen2.
  • Lead and support data modernization and migration initiatives to Azure.
  • Perform solution assessment, complexity analysis, and migration planning.
  • Develop scalable data pipelines using PySpark, Spark SQL, and Azure Data Factory (ADF).
  • Implement data engineering best practices including SCD, CDC, UPSERT/MERGE, and data quality frameworks.
  • Optimize data processing performance, storage design, and cloud costs.
  • Design partitioning, data distribution, and performance tuning strategies.
  • Mentor team members and establish coding standards and engineering best practices.
  • Drive adoption of AI-assisted development tools such as GitHub Copilot to improve productivity and code quality.

Required Skills

  • Strong hands-on experience with:
    • Azure Synapse Analytics
    • Azure Databricks
    • PySpark
    • Spark SQL
    • Azure Data Factory (ADF)
  • Advanced SQL expertise across platforms such as:
    • Oracle
    • SQL Server
    • PostgreSQL
  • Experience with Git/GitHub, CI/CD, and Azure DevOps.
  • Strong understanding of:
    • Data Warehouse Concepts
    • Medallion Architecture
    • Data Governance
    • Data Security (RBAC, Key Vault)
  • Experience designing scalable and enterprise-grade data platforms.
Good to Have

  • Exposure to Informatica PowerCenter (IPC).
  • Experience with Kafka, Azure Event Hubs, or Streaming Architectures.
  • Terraform or Infrastructure as Code (IaC).
  • Power BI and Analytics solutions.
  • AI/ML integration with data platforms.
  • Domain experience in Insurance or Financial Services.
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