Description

You will design, develop, and maintain test scenarios, cases, and scripts for Data and AI use cases, while building automation frameworks in Python for AI, ETL, and PBI processes.

This role is on-site.

Responsibilities

• Design and execute test scenarios, test cases, and scripts for Data and AI applications.
• Build and maintain Python automation frameworks for AI, ETL, and PBI workflows.
• Collaborate with QA analysts and feature teams to create and refine test artifacts.
• Execute and stabilize test scripts across browsers and platforms, diagnosing and fixing failures.
• Participate in Agile ceremonies, assess testing scope, and highlight risks promptly.

Required Skills

• Hands-on Python experience with the Pytest framework for test automation.
• Proficiency in SQL for ETL testing and data validation.
• Experience with regression and integration testing methodologies.
• Ability to write and interpret Python code logic and SQL queries.
• Understanding of Agile methodology and experience participating in scrum meetings.
• High-level understanding of Data Science and GenAI concepts.
• Minimum 6+ years of professional testing experience.

Preferred Skills

• Ability to lead project initiatives and drive testing standards.
• Flexibility to adapt to both tool-based and in-house framework automation.

Key Skills

Education

Any Graduate