{"id":4016675,"url":"https://alion.io/job/wns-data-test-engineer-sql-python-for-test-automation-data-warehouse-etl-testingdatabricks-azure-devops-test-plans-am","title":"Data Test Engineer( SQL / Python for test automation /Data warehouse /ETL testing/Databricks /Azure DevOps Test Plans) AM","company":{"id":6220,"name":"WNS","domain":"wns.com","url":"https://alion.io/company/wns","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"A","score":86,"open_postings":49,"ghost_share":0,"stale_share":0.776,"repost_share":0,"time_to_fill_p50_days":7,"computed_at":"2026-11-10T06:52:35Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Jira","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Great Expectations","optional":true},{"name":"Pytest","optional":true}],"status":"live","first_seen_at":"2026-11-10T10:25:25Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-10T23:29:21Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"WNS, part of Capgemini, is an Agentic AI-powered leader in intelligent operations and transformation, serving more than 700 clients across 10 industries, including Banking and Financial Services, Healthcare, Insurance, Shipping and Logistics, and Travel and Hospitality. We bring together deep domain excellence - WNS’ core differentiator - with AI-powered platforms and analytics to help businesses innovate, scale, adapt and build resilience in a world defined by disruption.\nOur purpose is clear: to enable lasting business value by designing intelligent, human-led solutions that deliver sustainable outcomes and a differentiated impact. With three global headquarters across four continents, operations in 13 countries, 65 delivery centers and more than 66,000 employees, WNS combines scale, expertise and execution to create meaningful, measurable impact.\nWhy Join Us?\nWe promise our employees to experience role clarity, coaching and mentoring, professional development and structured career path through our 5 people promises and keeping employee experience at the core. Experience the culture of Outperformance, engagement, celebration and enjoy wide variety of best in class benefits including free HMO coverage for self and dependent from Day 1; Also contribute to society through our WNS Cares Foundation, where you have the opportunity to support meaningful initiatives and make an impact in the community.\n Data Test Engineer\nWe are looking for a Data Test Engineer with 4 to 5 years of experience to test data pipelines and reports on an enterprise finance data platform on Azure, Databricks and Snowflake. You will plan and run tests that confirm data is loaded, transformed and reported correctly, from source systems through to Power BI.\nKEY RESPONSIBILITIES\nWrite test plans and test cases for ingestion, transformation and reporting\nTest data loads from source systems, including record counts, completeness and field-level checks\nTest Databricks transformations against source-to-target mappings\nTest Snowflake data products and access rules\nTest Power BI reports, including figures, filters, security and performance\nAutomate repeatable data tests using Python and SQL\nRun regression tests for each release through Azure DevOps\nLog and track defects, and retest fixes\nSupport user acceptance testing with finance users\nReport test progress and results\nTECHNICAL SKILLS\nMust-have\nSQL\nPython for test automation\nData warehouse and ETL testing\nDatabricks or Snowflake\nPower BI report testing\nAzure DevOps Test Plans or Jira\nGood-to-have\npytest\nGreat Expectations\nPerformance 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