HYDERABAD · FULLTIME
Software Engineer II
MetLife
Hyderabad · onsite · Posted 62d ago
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Section · 01
About this role
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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Section · 02
Skills
Section · Company
About MetLife

MetLife
Insurance
4k+
employees
2008
18 years old
New York
United States (USA)
₹9.3L PA avg
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