
Data Quality and Automation Professional
2 days ago
Job Description:
We are seeking an experienced and motivated Test Automation Specialist to join our team. The ideal candidate will have a strong focus on data quality, validation, and automation, with hands-on experience in Snowflake and ThoughtSpot.
The successful candidate will combine their test automation expertise with software engineering skills to ensure the accuracy and reliability of our data pipelines, analytics platforms, and reporting systems.
- 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
- Collaborate across teams to define strategies, plan sprints, and track data quality metrics
Required Skills & Qualifications:
- 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:
We promote a culture of integrity, innovation, and continuous improvement. As a Test Automation Specialist, you'll help ensure our data-driven platforms meet the highest standards of quality, enabling reliable insights across the business.
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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