Required Skills: Data products architecture, Data modernization, data governance, AWS DMS, Glue, Spark EMR, RedShift, Python, PySpark, SQL

Job Description

Note: Please candidate should be MORE DATA ORIENTED.

Overall experience of 10+ years in data warehousing and/or data products implementations with 4+ years in AWS cloud Data & AI ecosystem
Must have: Experience in architecting solutions in data and AI intensive landscape including data products architecture, modernization, and data governance.
Must have: Strong experience with distributed data processing (AWS DMS, Glue, Spark EMR, RedShift).
Must have: Hands-on Experience in Agentic AI leveraging A2A and MCP frameworks, AI/ML frameworks(Kiro, Claude, LangGraph).
Must have: Proficiency in Python, PySpark and SQL; familiarity with Iceberg tables preferred.
Stay current on cutting-edge AI research, tools, and trends (especially in autonomous agents and orchestration).
Demonstrated problem-solving ability and eagerness to learn and apply new technologies.
Excellent communication skills and a customer-first mindset