WNS, part of Capgemini, is an Agentic AI-powered leader in intelligent operations and transformation, serving more than 700 clients across 10 industries. 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.
Requirements
- 5+ years of hands-on experience in Data Engineering, Data Automation, or Data Pipeline development.
- Strong Python expertise with experience building and maintaining production-grade data pipelines.
- Data ingestion experience using APIs, web scraping, and file-based sources (Excel, HTML, JSON, XML).
- Solid understanding of data pipeline architecture, modular design, reusability, and performance optimization.
- Experience with workflow orchestration concepts such as scheduling, dependencies, retries, and monitoring.
- Proficiency with Git and strong coding, testing, and documentation standards.
- Strong understanding of data quality, validation, governance, and schema evolution.
- Ability to troubleshoot and resolve production data pipeline issues independently.
Benefits
- Hybrid working
- UK time zone