Advanced Data Validation Specialist

1 week ago

Pushkar, Rajasthan, India beBeeDataQualityEngineer Full time ₹ 15,00,000 - ₹ 20,00,000

Job Description:

We are seeking a skilled and motivated individual to join our team as a Data Quality Engineer. The ideal candidate will have a strong background in software development, data testing, and automation.

The successful candidate will be responsible for ensuring the accuracy and reliability of our data pipelines, analytics platforms, and reporting systems. This includes automating testing for data pipelines and ETL workflows, validating data models, transformations, and aggregations, and building reconciliation tests between source systems and Snowflake.

Additionally, the candidate will be responsible for testing and verifying dashboards, reports, and analytics in ThoughtSpot, ensuring metrics and KPIs in BI tools align with data definitions, and developing and maintaining test automation frameworks in C#, integrating into CI/CD pipelines.

Key Responsibilities:

  • 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 & Experience:

Our ideal candidate will have:

  • 5+ years of experience 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.

Benefits:

Our company promotes a culture of integrity, innovation, and continuous improvement. As a Data Quality Engineer, you'll contribute to ensuring our data-driven platforms meet the highest standards of quality, enabling reliable insights across the business.

As part of our team, you'll work on meaningful challenges, from data validation at scale to AI-enhanced testing initiatives, while growing your career in a team that values transparency, ownership, and technical excellence.

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