Senior Data Engineer
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Location:
India
About the role
Build and productionize AWS data pipelines, AI agents, and backend services. This hands-on role requires strong Python and AWS skills and the ability to work across Data, AI, and Backend engineering from design through deployment.
Key Responsibilities
Data Engineering and AWS Pipelines Build ingestion and ETL pipelines using Python, Py Spark, and AWS Glue. Orchestrate workflows with AWS Step Functions and manage S3, Athena, and Glue Catalog data layers. Backend and API Development Build Python REST APIs and microservices for AI agents, front ends, and enterprise systems.
· Handle authentication, validation, logging, monitoring, integrations, containerization, and deployment. AI Agent Development Build agents using Amazon Bedrock, Agent Core, and Strands.
· Implement tool/function calling, workflows, state/context, RAG, evaluation, security, observability, and reusable components. Engineering and Dev Ops
· Write clean, reusable, testable code using Git, CI/CD, and configuration-driven development.
· Follow Ia C, cloud security, secrets management, logging, and monitoring standards. Terraform is preferred. Required
Skills:
Must Have
· Strong Python and AWS development experience.
· Data pipeline/ETL experience with Py Spark and preferably AWS Glue.
· Experience with S3, Athena, and AWS Step Functions.
· REST API and backend development experience.
· Hands-on LLM/Gen AI or AI-agent development, including Amazon Bedrock.
· Exposure to Agent Core and/or Strands is highly desirable.
· Strong Git, software engineering, and CI/CD practices.
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