Key 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 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.
Skills Required
Database Testing, Java, Automation, Api Testing, Selenium, Cucumber