Data Test Engineer (ETL Testing)
Hybrid · Delhi, Delhi, India
Job Summary
Data Test Engineer (ETL Testing) with 8-12 years of experience in ETL/DWH testing focusing on Azure-based data platforms (ADF/Data Factory, Synapse, Databricks) and data governance. Role requires strong SQL, Python/PySpark automation, and validation of data pipelines, lakehouse, and Power BI semantic models; insurance data domain and regulatory framing (Solvency II, IFRS 17) are highly desirable. Hybrid/Remote arrangement with occasional visits to Delhi/NCR offices; collaboration across Fabric Engineers, Solution Architects, and Hiscox Data Platform teams as part of a multi-phase data modernization program.
Required Qualifications
- 8-12 years of experience in ETL / DWH testing
- Strong SQL skills for complex validation queries
- Hands on experience with Microsoft Fabric components (Data Factory, Lakehouse, Data Warehouse, Power BI semantic model validation)
- Experience testing data platforms built on Azure (ADLS, ADF, Synapse, Databricks)
- Understanding of ETL/ELT concepts, data modeling, and medallion architecture
- Experience with Python, PySpark, or similar scripting languages for automation
- Experience testing insurance data (policies, claims, exposure, pricing, risk) is highly desirable
- Familiarity with regulatory reporting frameworks (Solvency II, IFRS 17) is a plus
- Strong analytical and problem solving abilities
- Excellent communication and documentation skills
- Ability to work in agile, cross functional teams
- Detail oriented mindset with a strong focus on data accuracy
- Nice-to-Have: Purview for data governance validation
- Exposure to KQL databases and real time analytics testing
- Microsoft certifications in Fabric, Azure Data Engineering, or Power BI
- Experience with test automation frameworks for data engineering
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