About the Job:
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Overview:
The company is an ADX-listed public company, majority-owned by Abu Dhabi-based G42, and a leader in big data analytics powered by GenAI. The company excels in data interpretation to support insight-driven decision-making across various sectors, aiming to create a positive societal impact.
The Opportunity:
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, ensuring data accuracy, reliability, and readiness for analytics and reporting.
Key Responsibilities:
- Functional design and execution of 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, 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 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, and Compliance Management policies.
Qualifications:
- Bachelor's Degree in Artificial Intelligence, Computer Science, Business Analytics, Engineering, or a related field.
- 6+ years of overall QA/testing experience, with 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 for data validation and reconciliation.
- Experience testing data on Microsoft Fabric (Lakehouse/Warehouse).
- Hands-on testing of Fabric Data Factory Gen2 pipelines, Dataflows, and Spark-based transformations (PySpark understanding).
- Strong knowledge of dimensional modeling and SCD Type 1 & 2.
- Familiarity with Microsoft Purview for lineage, metadata, and governance validation.
- Experience with Python or PySpark for automated data testing.
- Experience testing Power BI semantic models, measures, and dashboards.
- Familiarity with CI/CD pipelines for data platforms.
Ideally, you’ll also need:
- In-depth market and domain knowledge.
- A passion for constant improvement.
- An innovative and creative approach to problem-solving.
- Excellent communication skills.
What We Look For:
Join us at the company, where we offer a culture of innovation, outstanding career growth opportunities, and competitive rewards. If you're eager to conquer new frontiers in AI and thrive in a dynamic environment, we welcome you to our community.
What Working At the company Offers:
- Culture: An open, diverse, and inclusive environment with a global vision that encourages personal growth and focuses on groundbreaking, industry-first innovations.
- Career: Accelerate your career through high-impact projects and access to resources for continuous growth and learning opportunities.
- Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits, and more.
