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P1- GP-QA Specialist – ETL / Data Engineering / Power BI / Microsoft Fabric

Atlas Systems

Bengaluru, Karnataka, India Posted today
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About Us: Atlas Systems Inc. is a Software Solutions company headquartered in East Brunswick, NJ. Incorporated in 2003, Atlas provides a comprehensive range of solutions in the areas of GRC, Technology, Procurement, Healthcare Provider, and Oracle to customers across the globe. Combining our unparalleled experience of over a decade in the software industry and global reach, we have grown with extensive capabilities across industry verticals. For more information, please visit our website https://www.atlassystems.com/ Please click on the link below to apply for this position: https://atlas.bamboohr.com/careers/626 QA Specialist – ETL / Data Engineering / Power BI / Microsoft Fabric Overview Seeking a QA Specialist with strong hands-on experience in ETL/ELT testing, SQL, data validation, and data quality, with working knowledge of Microsoft Fabric, Databricks, and Power BI. The role involves validating data across source systems → ETL pipelines → data platforms → semantic models → Power BI, with a strong focus on reconciliation, transformation validation, migration testing, and RCA. Key Responsibilities • Test ETL/ELT pipelines, transformations, mappings, workflows, and data migrations. • Perform source-to-target reconciliation, completeness, accuracy, duplicate, null, aggregation, and business-rule validations. • Validate initial, incremental, historical, and delta loads, including insert/update/delete scenarios. • Validate data across SQL Server, Azure SQL, Snowflake, Fabric Lakehouse/Warehouse, and Databricks. • Test pipelines and transformations using ADF, SSIS, Informatica, Talend, Alteryx, Fabric Pipelines/Notebooks, and Databricks where applicable. • Use SQL, Python, PySpark/Spark SQL for data validation and automation. • Perform RCA across source → ETL → data platform → semantic model → Power BI. • Validate Power BI reports, semantic models, relationships, DAX, filters, RLS, refresh, and backend reconciliation. • Build reusable data validation/reconciliation automation frameworks and integrate checks into CI/CD or pipeline execution. • Document test cases, defects, evidence, QA metrics, and release validation. Required Skills • Strong ETL/Data Warehouse QA experience. • Strong SQL and data reconciliation skills. • Hands-on experience with one or more ADF, SSIS, Informatica, Talend, Alteryx, or similar ETL tools. • Strong understanding of data quality, ETL testing, data lineage, and migration testing. • Working knowledge of Microsoft Fabric and/or Databricks. • Good understanding of Power BI, semantic models, and DAX validation. • Experience with Python/PySpark/Spark SQL for data validation is preferred. • Strong RCA, defect management, and QA documentation skills. Preferred • Fabric / Databricks migration testing • Fabric Lakehouse/Warehouse, Pipelines, Notebooks • Databricks, Delta Lake, PySpark • ADF / SSIS / Informatica / Talend / Alteryx • Power BI Service, DAX, XMLA/SemPy • Playwright / UI automation • Metadata-driven or reusable QA frameworks • CI/CD and automated data-quality checks

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