The company is an ADX-listed public company majority-owned by Abu Dhabi-based G42, specializing in big data analytics powered by GenAI. The company excels in all-source data interpretation to support insight-driven decision-making that enhances policy-making and promotes safer, healthier, and more sustainable societies. We are looking for a Senior Data Tester with robust experience in data validation, data quality, and ETL/ELT testing within a modern cloud data platform. This role primarily involves validating data pipelines, transformations, and dimensional models built on Microsoft Fabric, ensuring data accuracy and reliability for analytics and reporting.
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Key Responsibilities:
- 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 via Fabric Data Factory Gen2, Dataflows, and Spark Notebooks (PySpark).
- 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.
- Collaborate with Data Engineers, BI teams, and Analysts to resolve defects.
- Maintain test documentation, data quality metrics, and release readiness reports.
- Comply with QHSE policies, procedures, and related risk assessments.
Qualifications:
- Bachelor's Degree in Artificial Intelligence, Computer Science, Business Analytics, Engineering, or related field.
- 8+ years of overall QA/testing experience, with a minimum of 4 years focused on data testing, including migration, ingestion (batch and API), ETL/ELT, and data quality testing.
- Strong understanding of data warehouse concepts and analytics data flows.
- Advanced SQL skills for data validation and reconciliation.
- Hands-on testing experience with Microsoft Fabric.
- Familiarity with Fabric Data Factory Gen2, Dataflows, and Spark transformations (PySpark).
- Knowledge of dimensional modeling and Slowly Changing Dimensions (SCD) Types 1 & 2.
- Experience with Microsoft Purview for metadata and governance validation.
- Proficiency in Python or PySpark for automated data testing.
- Familiarity with testing Power BI semantic models, measures, and dashboards.
- Knowledge of CI/CD pipelines for data platforms.
Join us at the company, where we foster a culture of innovation and provide outstanding career growth opportunities and competitive rewards. If you are excited to explore new frontiers in AI and thrive in a dynamic environment, we welcome you to our community.
Work Conditions:
- Full-time position
- Open, diverse, and inclusive environment
- Opportunities for continuous growth and learning
- Competitive remuneration with additional benefits including healthcare, education support, and leave benefits.
