Data Test Engineer( SQL / Python for test automation /Data warehouse /ETL testing/Databricks /Azure DevOps Test Plans) AM
WNS Global Services (company site, opens in a new tab)4–5 yrsBengaluruOn-siteDirect career pageEst. 8–14 LPA
Posted 2d ago
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Job description
Structured overview of role & requirements
About This Role
- Plan, write, and execute tests for data ingestion, transformation, and reporting on Azure, Databricks, and Snowflake data platforms.
- Automate data validation tests using SQL and Python and run regression tests for each release through Azure DevOps.
- Validate data accuracy and access rules from source systems to Power BI reports, including defect tracking and supporting finance users in acceptance testing.
Minimum Requirements
- 4 to 5 years of experience in software or data testing, with at least 2 years testing data warehouses or data platforms.
- Proficient in SQL, Python (for test automation), and data warehouse/ETL testing.
- Experience with Databricks or Snowflake, Power BI report testing, and Azure DevOps Test Plans or Jira.
- Degree in engineering or computer applications (B.E., B.Tech, or MCA).
Ideal Candidate Profile
- Experienced in testing finance data platforms with knowledge of finance data reconciliations and month-end close or tax processes.
- Skilled in automating data validation tests and managing test cycles in a data platform environment using modern tools.
- Familiar with enterprise-scale data testing covering ingestion, transformation, reporting, and security validations across data warehouses and BI tools.