{"id":3969818,"url":"https://alion.io/job/wns-assistant-manager-data-engineering-quality-role","title":"Assistant Manager - Data Engineering | Quality Role","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":87,"open_postings":50,"ghost_share":0,"stale_share":0.74,"repost_share":0,"time_to_fill_p50_days":8,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Leadership","role_family":"Leadership","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","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":"Databricks","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Great Expectations","optional":true}],"status":"live","first_seen_at":"2026-11-09T12:24:10Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-09T15:41:29Z","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 Quality Engineer\nWe are looking for a Data Quality Engineer with 4 to 5 years of experience to build and run data quality controls for an enterprise finance data platform on Azure, Databricks and Snowflake. You will define and automate quality rules, reconciliations and matching checks so that data used for financial control, tax and management reporting can be trusted. Candidates at the upper end of the range may lead a small team of data quality engineers.\nKEY RESPONSIBILITIES\nWork with business analysts and data owners to define data quality rules for finance data\nBuild automated quality checks in Databricks pipelines for completeness, validity, consistency and timeliness\nBuild reconciliations between source systems, the platform and reports, including general ledger to sub-ledger checks\nBuild matching rules for bank, call account and intra-group reconciliations\nSet up exception handling and route failed records to data owners for correction\nBuild data quality dashboards in Power BI\nRecord rule definitions and results in Microsoft Purview\nInvestigate recurring data issues and agree fixes with source system owners\nSupport testing and production monitoring of quality controls\nTECHNICAL SKILLS\nMust-have\nDatabricks, including PySpark and Spark SQL\nAdvanced SQL\nPython\nData quality rule design\nReconciliation and matching logic\nGood-to-have\nDelta Live Tables expectations\nGreat Expectations or similar tools\nSnowflake\nPower BI\nMicrosoft Purview\nDOMAIN KNOWLEDGE\nFinance data, including general ledger, sub-ledgers and intra-group balances\nBalance sheet substantiation and reconciliation controls\nData quality needs for month-end close, tax and management reporting\nCERTIFICATIONS (GOOD TO HAVE)\nDatabricks Certified Data Engineer Associate\nDAMA Certified Data Management Professional (CDMP)\nEXPERIENCE AND QUALIFICATIONS\n4 to 5 years in data engineering or data quality roles\nBuilt data quality or reconciliation controls on a cloud data platform\nExperience with finance or banking data\nDegree in engineering or computer applications (B.E., B.Tech or MCA)\n Degree in engineering or computer applications (B.E., B.Tech or 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