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Dataiku Engineer - DM (Dataiku DSS/Snowflake SQL/python/Alteryx)

Bengaluru, KA, India Full-time
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Posted 11 Nov 2026 · Engineering

Job description

Job Description Senior Dataiku Engineer We 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. KEY RESPONSIBILITIES Lead a small team of Dataiku engineers Analyse existing Alteryx workflows and plan their rebuild in Dataiku Build Dataiku flows that read certified Snowflake data and write to the analyst workspace Set Dataiku project standards, including naming, flow design, code recipes and documentation Set up scenarios, schedules and checks for Dataiku flows Publish controlled outputs to Snowflake for use in Power BI Identify stable, recurring flows and hand them to data engineering for rebuild in Databricks Manage Dataiku connections, permissions and project deployment with the platform team Train finance analysts to use Dataiku TECHNICAL SKILLS Must-have Dataiku DSS, including visual and code recipes, scenarios and automation Snowflake SQL Python Alteryx Leading small teams Good-to-have Databricks and PySpark Power BI Dataiku administration Azure DevOps DOMAIN KNOWLEDGE Finance processes, including reconciliations, recharges, tax workings and FP&A EUC risk and control expectations in banking CERTIFICATIONS (GOOD TO HAVE) Dataiku Advanced Designer Dataiku Developer EXPERIENCE AND QUALIFICATIONS 5 to 8 years in data engineering or analytics, with at least 3 years on Dataiku Migrated Alteryx or other EUC workflows to a governed platform Experience in banking or financial services Degree in engineering or computer applications (B.E., B.Tech or MCA) Qualifications Degree in engineering, commerce or business; a finance qualification is an advantage  Company 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. Our 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. Why Join Us? We 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.
Pay, skills & work eligibility

Compensation

A clear compensation amount was not identified. Ask the employer for the range, currency, pay period and whether it covers base pay or total compensation.

Location, eligibility & working hours

Listed work location
Bengaluru, KA, India
Visa sponsorship
Not stated clearly
Relocation support
Not stated clearly
Working hours / time zone
Not stated clearly

Remote does not automatically mean work from any country. A location match does not confirm work authorization, sponsorship or relocation eligibility.

Requirements at a glance

Experience mentioned: 5–8 years

PythonSQLAzurePower BI

Named skills identified in the listing. A mention is not always a requirement; read the full description and employer conditions.

Location & work arrangement

Listed work locations

  • Whitefield Main Road, Bengaluru, KA, 560066, India

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