{"id":4060980,"url":"https://alion.io/job/wns-dataiku-engineer-dm-dataiku-dsssnowflake-sqlpythonalteryx","title":"Dataiku Engineer - DM (Dataiku DSS/Snowflake SQL/python/Alteryx)","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":"2026-11-11T05:49:22Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","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":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Alteryx","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Azure DevOps","optional":true},{"name":"pySpark","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-11-11T07:11:14Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-11T08:38:56Z","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 Dataiku Engineer\nWe are looking for a Senior Dataiku Engineer with 5 to 8 years of experience to lead the build of Dataiku workflows that replace Alteryx and other end-user computing tools on an enterprise finance data platform on Azure, Databricks and Snowflake. You will design and build analyst workflows on Snowflake, guide a small team of Dataiku engineers, and move stable workflows into engineered Databricks pipelines.\nKEY RESPONSIBILITIES\nLead a small team of Dataiku engineers\nAnalyse existing Alteryx workflows and plan their rebuild in Dataiku\nBuild Dataiku flows that read certified Snowflake data and write to the analyst workspace\nSet Dataiku project standards, including naming, flow design, code recipes and documentation\nSet up scenarios, schedules and checks for Dataiku flows\nPublish controlled outputs to Snowflake for use in Power BI\nIdentify stable, recurring flows and hand them to data engineering for rebuild in Databricks\nManage Dataiku connections, permissions and project deployment with the platform team\nTrain finance analysts to use Dataiku\nTECHNICAL SKILLS\nMust-have\nDataiku DSS, including visual and code recipes, scenarios and automation\nSnowflake SQL\nPython\nAlteryx\nLeading small teams\nGood-to-have\nDatabricks and PySpark\nPower BI\nDataiku administration\nAzure DevOps\nDOMAIN KNOWLEDGE\nFinance processes, including reconciliations, recharges, tax workings and FP&A\nEUC risk and control expectations in banking\nCERTIFICATIONS (GOOD TO HAVE)\nDataiku Advanced Designer\nDataiku Developer\nEXPERIENCE AND QUALIFICATIONS\n5 to 8 years in data engineering or analytics, with at least 3 years on Dataiku\nMigrated Alteryx or other EUC workflows to a governed platform\nExperience in banking or financial services\nDegree in engineering or computer applications (B.E., B.Tech or MCA)\n Degree in engineering, commerce or business; 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