10+ years of hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols).
Knowledge of creation and managing datasets on AWS S3 and AWS Redshift
Understanding on complex ETL workflows deploying on AWS Glue
Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required.
Good knowledge of metadata management, data modeling, and related tools (Erwin or ER Studio or others) required.
Experience of 2 to 3 years doing data analysis and data testing
Good working knowledge of SQL
Good data analysis skills to query, map and document source to target mappings, understand data schemas and modeling