{"id":3871891,"url":"https://alion.io/job/wns-group-manager-data-engineering-azure-databricks-snowflake-sql-team-management","title":"Group Manager- Data Engineering | Azure Databricks | Snowflake SQL | Team Management","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":"2026-11-08T05:47:12Z"}},"role":"Leadership","role_family":"Leadership","seniority":"senior","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":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Git","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Informatica","optional":true}],"status":"live","first_seen_at":"2026-11-06T10:47:15Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-08T21:28:02Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"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 Engineering Lead\nWe are looking for a Data Engineering Lead with 8 to 12 years of experience to lead the build of data pipelines for an enterprise finance data platform on Azure, Databricks and Snowflake. You will run the data engineering team, own delivery from source systems through to certified Gold data products, and set the engineering standards the team works to.\nKEY RESPONSIBILITIES\nLead a team of data engineers building ingestion and transformation pipelines\nDeliver ingestion from finance source systems using change data capture, Azure Data Factory batch loads, API and event-driven feeds, and governed manual uploads\nBuild the Bronze, Silver and Gold layers in Databricks, including conformed dimensions and Gold data domains\nBuild Gold data domains for financial control, FP&A, tax, recharges and project accounting with the Data Architect\nPublish certified data products from Databricks to Snowflake for reporting and analysis\nBuild data quality, reconciliation and matching checks into pipelines with the data quality team\nMove recurring Dataiku analyst workflows into engineered Databricks pipelines\nSet coding standards, branching, code review and CI/CD practices in Azure DevOps\nEstimate work, plan sprints and report progress to the Engagement Manager\nTune pipeline performance and manage compute usage\nSupport production issues and handover to the support team\nTECHNICAL SKILLS\nMust-have\nDatabricks, including PySpark, Spark SQL, Delta Lake, Workflows and Unity Catalog\nSnowflake SQL, data loading and performance tuning\nAzure Data Factory\nPython and advanced SQL\nDimensional modelling\nGit and CI/CD with Azure DevOps\nLeading engineering teams in agile delivery\nGood-to-have\nInformatica CDC and PowerCenter\nAPI Management, Service Bus and Functions\nDelta Live Tables\nDataiku\nMicrosoft Purview\nDOMAIN KNOWLEDGE\nBanking finance data, including general ledger, sub-ledgers, intra-group and recharges\nFinance systems such as SAP ECC, BW and BPC, TM1, Alfa and other lending platforms\nTreasury and banking data from systems such as TMS, T24 and bank statement feeds\nCERTIFICATIONS (GOOD TO HAVE)\nDatabricks Certified Data Engineer 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