
Chief Data Validation Officer
6 days ago
Job Opportunity
We are seeking a highly skilled Data Quality Assurance Specialist with a strong focus on data validation and automation. This role plays a crucial part in ensuring the accuracy and reliability of our data pipelines, analytics platforms, and reporting systems.
The ideal candidate combines test automation expertise with hands-on experience in Snowflake and ThoughtSpot, ensuring our data is trusted, actionable, and production-ready.
Key Responsibilities
- Automate testing for data pipelines and ETL workflows in Snowflake to guarantee data integrity.
- Validate data models, transformations, and aggregations for accuracy, identifying and resolving data inconsistencies.
- Build reconciliation tests between source systems and Snowflake to ensure data consistency.
- Test and verify dashboards, reports, and analytics in ThoughtSpot, driving data-informed decision-making.
- Ensure metrics and KPIs in BI tools align with data definitions, fostering a culture of transparency and accountability.
- Develop and maintain test automation frameworks in C#, integrating into CI/CD pipelines to streamline testing processes.
- Collaborate across teams to define strategies, plan sprints, and track data quality metrics, promoting a data-driven approach to quality assurance.
Required Skills & Qualifications
- 5+ years of experience in Testing, with a proven track record of delivering high-quality results.
- Experience as an SDET / Test Engineer with hands-on automation using C#, Playwright, and MSTest, leveraging expertise to drive testing efficiency.
- Practical experience with Snowflake (SQL queries, stored procedures, schema validation), utilizing technical knowledge to optimize data management.
- Exposure to ThoughtSpot or similar BI tools (Power BI, Tableau, Looker) for report validation and testing, applying analytical skills to drive insights.
- Strong knowledge of Page Object Model (POM) for UI automation and controller-based design for API testing, ensuring robust testing frameworks.
- Experience embedding test automation into CI/CD pipelines (Azure DevOps), streamlining testing processes and improving overall quality.
- Comfortable with test reporting, analyzing data quality metrics, and driving data-informed QA improvements, fostering a culture of continuous improvement.
- Excellent communication skills with experience working in collaborative Agile teams, promoting effective collaboration and stakeholder engagement.
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