
Chief Data Validation Officer
5 days ago
Lead Quality Assurance Professional
">We are seeking a skilled professional to lead our data quality efforts, working on a variety of complex projects. Ideal candidates will have strong leadership skills, as well as technical expertise in data warehousing and ETL.
">Key responsibilities include:
">- ">
- Developing and executing comprehensive testing strategies to ensure high-quality data solutions.">
- Designing and implementing effective test plans and cases for data validation and quality assurance.">
- Collaborating with cross-functional teams to translate business requirements into effective testing scenarios.">
- Identifying and troubleshooting data quality issues, providing recommendations for improvements.">
- Mentoring junior engineers and providing technical direction and knowledge sharing.">
Requirements:
">- ">
- 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.">
- Knowledge of Agile methodologies and working in CI/CD environments.">
- Familiarity with GitHub Actions, Jenkins, or other CI/CD tools.">
- Basic knowledge of Python or scripting for automation.">
Desirable Skills:
">- ">
- Achieving efficiency in processes and operations through automation.">
- Understanding key metrics to measure process performance.">
- Working towards improving organizational performance.">
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