Atlas

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

Bengaluru, Karnataka

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hirly's read of this role

Role family: Supply chain
Seniority: Mid level
Country: IN
Work mode: On-site / unstated
First seen by hirly: 6 Oct 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

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

Original posting on Atlas's site ↗

Listed on hirly, a job board. hirly is not the employer: Atlas is hiring for this role.

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