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 contemporary QA practices including shift-left, continuous testing, and risk-based prioritization.

Skills: Database Testing, Artificial Intelligence, Ml, Data Validation, Automation

Experience: 6.00-10.00 Years

📌 Data QA Engineer (Hyderabad)
🏢 Xebia IT Architects
📍 Hyderabad