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 settings.
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 up-to-date QA practices including shift-left, continuous testing, and risk-based prioritization.

📌 Data Qa Engineer Bengaluru
🏢 Xebia IT Architects
📍 Bengaluru