Engineer - Quality Assurance

We are seeking a Data Tester with strong experience in data validation, data quality, and ETL/ELT testing within a modern cloud data platform. The role will focus on validating data pipelines, transformations, and dimensional models built on Microsoft Fabric (Lakehouse/Warehouse), ensuring data accuracy, reliability, and readiness for analytics and reporting.

Requirements

• Design and execute end-to-end data testing for Fabric-based data pipelines
• Validate data ingestion into Fabric Lakehouse and Warehouse layers
• Perform source-to-target reconciliation (row counts, aggregates, checksums)
• Validate data transformations implemented via Fabric Data Factory Gen2, Dataflows, Spark Notebooks (PySpark)
• Validate dimensional data models, business rules, and derived metrics
• Ensure consistency of KPIs across analytical and reporting layers
• Define and execute data quality checks (completeness, accuracy, consistency, timeliness)
• Validate data lineage, metadata, and governance artifacts in Microsoft Purview and MDM systems
• Support ongoing data quality monitoring and issue detection
• Develop and maintain automated data validation using SQL and Python or PySpark
• Support performance, regression, UAT, and production data validation
• Collaborate with Data Engineers, BI teams, and Analysts to track and resolve defects
• Maintain test documentation, data quality metrics, and release readiness reports
• Comply with QHSE (Quality Health Safety and Environment), Business Continuity, Information Security, Privacy, Risk, Compliance Management and Governance of Organizations policies, procedures, plans and related risk assessments.

Benefits

• Competitive remuneration package
• Healthcare benefits
• Education support
• Leave benefits
• Perks