Data QA Engineer

Roles & Responsibilities:

• Design, develop, and maintain automation test frameworks for web, API, and data-centric applications.
• Perform data pipeline testing including ETL/ELT validation, schema verification, data integrity, reconciliation, and transformations across multiple sources/sinks.
• Implement AI/ML-powered testing solutions such as intelligent test selection, self-healing tests, defect clustering, and log anomaly detection.
• Collaborate with engineering and data teams to ensure quality across data pipelines, APIs, and distributed systems.
• Conduct data validation testing for structured and unstructured data in cloud and on-premise environments.
• Integrate automation into CI/CD pipelines with robust monitoring and reporting.
• Analyze test results, detect patterns using AI tools, and generate data-driven quality insights.
• Advocate modern QA practices including shift-left, continuous testing, and risk-based prioritization.