
Advanced Data Validation Specialist
3 days ago
We are seeking a highly skilled Senior QA Engineer with strong expertise in data validation, test automation and leadership qualities. The ideal candidate will have hands-on technical skills combined with the ability to guide junior engineers, ensure best practices, and deliver high-quality data solutions.
Key Responsibilities:- Lead and support testing efforts for ETL processes, data warehousing, and data migrations with a focus on data quality and test automation.
- Design, develop, and execute test strategies, test plans, and test cases for data validation and quality assurance.
- Review requirements, specifications, and technical design documents to provide timely and meaningful feedback.
- Perform data analysis, reconciliation, and validation between source and target systems.
- Design data quality frameworks for Snowflake environments.
- Validate data completeness, transformations, and client onboarding workflows.
- Perform row-level and aggregated data validations across client datasets.
- Support data governance, auditing, and compliance requirements.
- Work closely with business analysts, data engineers, and developers to ensure requirements are translated into effective testing scenarios.
- Identify data quality issues, troubleshoot, and provide recommendations for improvements.
- Drive automation in ETL and DWH testing where feasible.
- Ensure non-functional requirements such as performance and security are met.
- Mentor and guide junior engineers, providing technical direction and knowledge sharing.
- 6+ years of experience in ETL/DWH testing, with at least 2+ years working on Snowflake.
- Strong understanding of data warehousing concepts, data migrations, and ETL workflows.
- Proficiency in SQL with ability to write complex queries for data validation and analysis.
- Hands-on experience with ETL tools (e.g., Informatica, Talend, SSIS, or equivalent).
- Strong knowledge of data quality, data governance, and reconciliation testing.
- Experience with test automation for DWH/ETL projects is an advantage.
- Exposure to cloud platforms (AWS/Azure/GCP) preferred.
- Experience in a lead role – mentoring team members, assigning tasks, and ensuring quality delivery.
- Excellent communication and stakeholder management skills.
- Bachelor's degree in Software Engineering or Computer Science or IT or related field.
- ISTQB examinations.
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