{"id":3959534,"url":"https://alion.io/job/wns-assistant-manager-sr-data-engineering-databricks-adf-snowflake","title":"Assistant Manager - Sr. Data Engineering | Databricks | ADF | Snowflake","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":"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":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","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},{"name":"Power BI","optional":true}],"status":"live","first_seen_at":"2026-11-09T09:48:19Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-09T20:54:34Z","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 Senior Data Engineer\nWe are looking for a Senior Data Engineer with 4 to 5 years of experience to build data pipelines for an enterprise finance data platform on Azure, Databricks and Snowflake. You will develop ingestion and transformation jobs, build Gold data products and publish them to Snowflake for reporting.\nKEY RESPONSIBILITIES\nBuild ingestion pipelines from finance source systems using Azure Data Factory, change data capture, and API and event-driven feeds\nDevelop transformations in Databricks across the Bronze, Silver and Gold layers using PySpark and Spark SQL\nBuild conformed dimensions and fact tables to the agreed data model\nLoad certified Gold data into Snowflake and build the views used by reporting teams\nAdd data quality, reconciliation and logging checks to pipelines\nWrite unit tests and support system and user acceptance testing\nFollow coding standards and take part in code reviews\nDeploy code through Azure DevOps pipelines\nInvestigate and fix pipeline failures and data issues\nDocument pipelines, mappings and run procedures\nTECHNICAL SKILLS\nMust-have\nDatabricks, including PySpark, Spark SQL and Delta Lake\nAzure Data Factory\nSnowflake SQL and data loading\nPython and advanced SQL\nDimensional modelling\nGit and Azure DevOps\nGood-to-have\nInformatica CDC\nAzure Functions and Service Bus\nUnity Catalog\nDelta Live Tables\nPower BI\nDOMAIN KNOWLEDGE\nFinance data such as general ledger, trial balance, sub-ledgers and bank statements\nFinance source systems such as SAP, TM1 and lending platforms\nCERTIFICATIONS (GOOD TO HAVE)\nDatabricks Certified Data Engineer Associate\nSnowPro Core\nEXPERIENCE AND QUALIFICATIONS\n4 to 5 years in data engineering, with at least 2 years on Databricks or Snowflake\nWorked on at least one cloud data platform project that went into production\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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