Assistant Manager - Data Engineering

Snowflake, dbt SQL 5+ yrs exp (Assistant Manager- DE

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.

Job Description

• Agile-oriented, analytical, problem solver
• Strong communicator across business & engineering teams
• Domain-aware (Finance, Sales, HR, etc.)
• Support Product Owner (PO) in defining and framing business needs
• Translate business needs into detailed requirements and user stories
• Define data mapping tables and contribute to data model design (Silver & Gold layers)
• Participate in dashboard and dataviz creation
• Conduct data quality evaluation of data sources
• Define and execute test plans; track and follow up on defects
• Coordinate with Data Engineers for correct implementation
• Monitor ingestion pipelines and data availability
• Respond to incidents and perform root cause analysis
• Execute operational runbooks and standard operating procedures
• Coordinate with build teams for defect resolution and enhancements
• Track operational KPIs and support service improvement initiatives
• Maintain operational documentation and knowledge assets
Experience - 3-5 Years
• Agile methodologies (Scrum / Kanban)
• Data modelling principles
• Good SQL knowledge for data analysis and transformation
• Requirements & specification writing
• Testing & validation
• Strong communication skills
• Handon with Snowflake, dbt
• working experience on AWS

Qualifications

B Tech

Additional Information

Benefits and Company Perks:

• Structured career path
• Growing and expanding team – more internal career progression opportunities for all
• Safe work environment
• Free HMO coverage from day 1, including your domestic partner
• Skills training opportunities
• Paid leaves
• Annual appraisal

Experience Level

Mid Level