Data Quality Analyst

Job Description

About the Role We are looking for a motivated and technically proficient Mid-Level (5-7 years) SDET (Software Development Engineer in Test) with a strong focus on data quality, validation, and automation. This role 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. 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. Collaborate across teams to define strategies, plan sprints, and track data quality metrics. Qualifications: B.Tech/BE Required Skills 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. 2+ years of experience as an SDET / Test Engineer with hands-on automation using C#. 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. Preferred Skills Familiarity with Playwright, and MSTest. Knowledge of Page Object Model (POM) for UI automation and controller-based design for API testing will be a plus. Familiarity with test result aggregation tools (e.g., Report Portal). Experience in regulated industries such as finance, compliance, or healthcare. Certifications in Snowflake, ISTQB, Azure Fundamentals, or prior mentoring responsibilities in QA/SDET functions. Awareness of AI-driven testing tools or AI-enhanced data quality frameworks. Include a statement on commitment to diversity and inclusivity.