QA Manager - Enterprise data (Retail)

Job description

Overview

Experienced Data QA Manager to oversee the quality assurance efforts for data integration and ETL processes. The ideal candidate will have a strong background in data warehousing, ETL testing, and QA methodologies, coupled with excellent leadership and communication skills.

Duties

Lead and manage the QA team for ETL projects, ensuring the delivery of high-quality data solutions. Collaborate with cross-functional teams including data engineers, analysts, and business stakeholders to understand requirements and ensure test coverage. Create and maintain QA roadmaps, timelines, and test plans for ETL pipelines. Develop and execute test strategies for ETL processes, ensuring data accuracy, integrity, and performance. Perform data validation by writing SQL queries and verifying data mappings and transformations. Identify, document, and track defects in data processing and coordinate resolution efforts with the development team. Design and implement test automation frameworks for ETL processes to improve efficiency and reduce manual effort. Optimize QA practices by introducing tools, methodologies, and best practices for ETL testing. Monitor and report on QA metrics to measure process improvements and identify bottlenecks.

Experience

• Proven experience in software testing and quality assurance
• Strong knowledge of ETL processes and tools like Talend
• Data Automation experience
• Experience in Retail Domain
• KPI metrics side knowledge
• Ability to lead a team effectively
• Excellent analytical and problem-solving skills