Data Engineer

Shrive Technologies

Overall experience of 8+ years in data warehousing and/or data products implementations with 4+ years in AWS cloud data & AI ecosystem Must have: Strong experience with distributed data processing (Spark, AWS Glue, EMR, or equivalent). Must have: Hands-on Experience in Agentic AI leveraging A2A and MCP frameworks, AI/ML frameworks(Kiro, Claude, LangGraph), AI led design using GitHub CoPilot. Hands-on expertise with data modelling, ETL pipelines, and performance optimization. Strong hands-on expertise in building and optimizing ETL pipelines into Amazon Redshift Proficiency in Python, PySpark and SQL; familiarity with Iceberg tables preferred. Solid background in Data Analysis and Data Warehousing concepts (star/snowflake schema design, dimensional modelling, and reporting enablement). Orchestration experience with Airflow, Step Functions, and Lambda Experience with Redshift performance tuning, schema design, and workload management. #J-18808-Ljbffr Shrive Technologies

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Vacancy posted 2 days ago

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