About the Role
As a Quality Engineer (Data Testing & Automation), you'll play a key role in validating complex data workflows that power global analytics platforms. You'll work on data-centric projects and ensuring that data is reliable, consistent, and accurately transformed across multiple systems.
Your day-to-day work will include:
- Validating data pipelines, ETL/ELT processes, and data transformations
- Writing and debugging SQL scripts to perform data quality checks
- Building lightweight automation using Python
- Collaborating with Data Engineers, Cloud Engineers, and QA peers across global teams
- Participating in CI/CD integration and cross-team QA collaboration
- Working closely with US-based client teams in an agile/scrum setup
What We're Looking For
- Strong proficiency in SQL (advanced joins, grouping, data validation logic)
- Working knowledge of Python (data checks, functions, automation scripts)
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