Data QA Engineer-Python/ETL/DWH Testing

Required Skills 5+ years of experience in Data QA / DWH Testing / ETL Testing. Strong hands-on experience with SQL (Joins, CTEs, Window Functions, Aggregations, Stored Procedures). Experience in Python for test automation, scripting, and data validation. Strong understanding of ETL/ELT processes and data validation techniques. Experience with Source-to-Target Mapping (STM) validation. Good knowledge of Fact & Dimension Tables, Star Schema, and Snowflake Schema. Experience working with enterprise Data Warehouse platforms (Snowflake, Redshift, Azure Synapse, BigQuery, Oracle, SQL Server, etc.). Familiarity with ETL tools such as Informatica, Talend, SSIS, DataStage, or dbt is a plus. Experience using JIRA, Git, and Agile methodologies. Required Skills 5+ years of experience in Data QA / DWH Testing / ETL Testing. Strong hands-on experience with SQL (Joins, CTEs, Window Functions, Aggregations, Stored Procedures). Experience in Python for test automation, scripting, and data validation. Strong understanding of ETL/ELT processes and data validation techniques. Experience with Source-to-Target Mapping (STM) validation. Good knowledge of Fact & Dimension Tables, Star Schema, and Snowflake Schema. Experience working with enterprise Data Warehouse platforms (Snowflake, Redshift, Azure Synapse, BigQuery, Oracle, SQL Server, etc.). Familiarity with ETL tools such as Informatica, Talend, SSIS, DataStage, or dbt is a plus. Experience using JIRA, Git, and Agile methodologies.