Data Test Engineer (ETL Testing)

Required Skills & Experience
Technical Skills
8-12 years of experience in ETL / DWH testing.
Strong SQL skills for complex validation queries.
Hands on experience with Microsoft Fabric components (any combination of):
o Data Factory (Pipelines, Dataflows Gen2)
o Lakehouse (Delta tables, Notebooks)
o Data Warehouse (SQL Endpoint)
o Power BI semantic model validation
Experience testing data platforms built on Azure (ADLS, ADF, Synapse, Databricks).
Strong understanding of ETL/ELT concepts, data modeling, and medallion architecture.
Experience with Python, PySpark, or similar scripting languages for automation.
Domain Knowledge
Experience testing insurance data (policies, claims, exposure, pricing, risk) is highly desirable.
Familiarity with regulatory reporting frameworks (Solvency II, IFRS 17) is a plus.
Soft Skills
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
Experience with 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.
________________________________________
Engagement Details
Location: Hybrid/Remote with occasional visits to NTT offices (Delhi/NCR).
Reporting: Works under the Test Lead and collaborates with Fabric Engineers, Solution Architects, and Hiscox Data Platform teams.
Duration: Multi phase engagement aligned with Hiscox's data modernization roadmap.