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.
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