Senior Data Quality Specialist

3 days ago

Mount Abu, Rajasthan, India beBeeDataQuality Full time ₹ 15,00,000 - ₹ 25,00,000

We are seeking an experienced and skilled Data Quality Engineer to join our team. As a Data Quality Engineer, you will play a key part in ensuring the accuracy and reliability of our data pipelines, analytics platforms, and reporting systems.

You will combine your test automation expertise with hands-on experience in Snowflake and ThoughtSpot, helping to ensure our data is trusted, actionable, and production-ready.

The ideal candidate will bring a mix of software engineering, data testing, and automation skills, with a passion for building robust frameworks that support both application-level testing and data validation.

  • Automate testing for data pipelines and ETL workflows in Snowflake.
  • Validate data models, transformations, and aggregations for accuracy.
  • Build reconciliation tests between source systems and Snowflake.
  • Test and verify dashboards, reports, and analytics in ThoughtSpot.
  • Ensure metrics and KPIs in BI tools align with data definitions.
  • Develop and maintain test automation frameworks in C#, integrating into CI/CD pipelines.
Required Skills & Qualifications
  • Candidate must have 5+ Yrs exp in Testing
  • Experience as an SDET / Test Engineer with hands-on automation using C#, Playwright, and MSTest.
  • Practical experience with Snowflake (SQL queries, stored procedures, schema validation).
  • Exposure to ThoughtSpot or similar BI tools (Power BI, Tableau, Looker) for report validation and testing.
  • Strong knowledge of Page Object Model (POM) for UI automation and controller-based design for API testing.
  • Experience embedding test automation into CI/CD pipelines (Azure DevOps).
  • Comfortable with test reporting, analyzing data quality metrics, and driving data-informed QA improvements.
  • Excellent communication skills with experience working in collaborative Agile teams.
What We Offer
  • A culture of integrity, innovation, and continuous improvement.
  • An opportunity to work on meaningful challenges, from data validation at scale to AI-enhanced testing initiatives.
  • Grow your career in a team that values transparency, ownership, and technical excellence.

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