Description

You will own the quality assurance lifecycle for large-scale data workflows and BI reporting solutions.

Responsibilities

• Validate Power BI dashboards, reports, data models, and DAX calculations, including RLS and dataset refresh schedules.
• Validate Azure Data Factory (ADF) pipeline executions, data flows, and perform ETL/ELT validation between sources (SQL, Data Lake, Synapse).
• Define and build test data strategies, creating data-seeding scripts to populate test environments.
• Build SQL-based validation scripts and automation frameworks for ETL/ADF testing.
• Collaborate with Data Engineers and Developers during sprint planning and definition-of-done creation.

Required Skills

• 7+ years of QA experience with a strong data and BI testing background.
• Expertise in Power BI Testing, including DAX and dataset validation.
• Hands-on experience with Azure Data Factory (ADF) for pipeline and data flow validation.
• Proficiency in ETL/ELT testing across SQL, Data Lake, and Synapse environments.
• Strong SQL querying skills for data validation, joins, and reconciliation.
• Experience with Data Seeding using SQL scripts or ADF pipelines.
• Familiarity with Azure DevOps and Git for CI/CD processes.
• Ability to automate data comparisons using Python or PowerShell.
• Solid understanding of data warehousing concepts, such as star schema.

Preferred Skills

• Experience with Power BI Premium, XMLA endpoints, and Tabular Editor.
• Experience in PySpark/Databricks for high-volume data validation.

Key Skills

Education

Any Graduate