Job highlights

- 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.

- Required Skills

- Preferred

QA Specialist - ETL / Data Engineering / Power BI / Microsoft Fabric

Job Summary

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.

- Solid 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

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

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 - GP-QA Specialist - ETL / Data Engg / Power BI / Microsoft Fabric (Bengaluru)
🏢 Atlas Systems
📍 Bengaluru