AWS Data Architect
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Mandatory Skills-AWS cloud native data platform - S3, Glue – ETL & Catalog, PySpark, Redshift, DMS, Kinesis, IaC, Informatica Power Center, Lambda and Step functions Job Summary: Overall experience of 8+ years in data warehousing and/or data mesh implementations with 4+ years in AWS cloud ecosystem Strong experience with distributed data processing (Spark, AWS Glue, EMR, or equivalent). Hands-on expertise with data modeling, 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 modeling, and reporting enablement). Orchestration experience with Airflow, Step Functions, and Lambda Experience with Redshift performance tuning, schema design, and workload management. #J-18808-Ljbffr