AWS Data Platform Engineer
Summary
Architects and builds enterprise-scale AWS data platforms (S3, Lake Formation, Glue, EMR, Athena) using Python, PySpark, SQL, and Terraform/Terragrunt, taking solutions from lakehouse architecture through pipelines, governance, security, and production operations.
Build AWS data platforms with Python and PySpark at Tata Consultancy Services, combining architecture depth with hands-on engineering. Work across enterprise data environments and AI integrations.
This AWS Data Platform Engineer role requires strong AWS architecture and engineering experience. You will work with Amazon S3, Lake Formation, Glue, EMR, Athena, and Spark. The position connects data architecture, pipelines, governance, security, and operationalization across enterprise-scale platforms.
Key Responsibilities:
- Architect and build enterprise-scale AWS data platforms
- Develop data solutions using Python, PySpark, and SQL
- Design lakehouse and medallion architecture patterns
- Move solutions from architecture through production operationalization
- Troubleshoot code, data, integration, and performance issues
Requirements:
- Strong AWS architecture and engineering experience
- Expert Python object-oriented programming and pandas knowledge
- Very good PySpark and SQL knowledge
- Experience with EMR, Glue, Athena, and Lake Formation
- Strong Terraform or Terragrunt infrastructure-as-code experience
Apply your AWS, Python, PySpark, and data architecture expertise to enterprise platforms at Tata Consultancy Services.