We are looking for a Data Product QA Engineer (Functional + Data Validation) with strong SQL and data validation expertise — someone who ensures that data product outputs match analytics logic and business expectations, not just that pipelines run.
The right candidate will have the ability to validate large-scale datasets (not UI testing mindset)
The role is for a Healthcare consulting MNC, so pharma domain experience will be a huge plus.
Experience: 3-8 years
Location: Gurgaon/Delhi NCR ( only)
Cloud Platform: AWS
Mandatory Requirements
- Strong SQL skills — complex joins, aggregations, and reconciliation queries on large datasets.
- Solid understanding of ETL/ELT pipelines and the ability to validate data flow end-to-end.
- Hands-on testing experience on Databricks or similar large-scale data platforms.
- Proven ability to validate large-scale datasets — this is a data validation role, not a UI testing one.
- Experience in data reconciliation — comparing data product outputs vs analytics outputs to ensure logical consistency.
- Experience supporting UAT — including country-level validation walkthroughs with business stakeholders.
- Experience testing business rules — eligibility logic, scoring/ranking thresholds, and similar configurable logic.
- Experience validating multi-country configurations and ensuring rule variations work as expected across geographies.
- Experience with incremental, sprint-based releases — validating changes within agile delivery cycles.
- Strong communication and collaboration skills — comfortable engaging with analysts, developers, and business stakeholders.
- A Bachelor's degree (or better) in a related field, ideally IT/Computer Science engineering background.
Good to have skills
- Exposure to PySpark or Python-based validation scripting.
- Familiarity with test automation frameworks for data pipelines.
- Experience with CI/CD for data — Git workflows, automated test suites.
- Experience in pharma/life sciences domain.
Pay: ₹800,000.00 - ₹1,200,000.00 per year
Benefits:
- Health insurance
- Provident Fund
Work Location: In person
