Description

You will own quality assurance for data transformation processes using Python automation and advanced SQL.

This role is hybrid.

Responsibilities

• Design, develop, and execute automation and manual test cases to validate software functionality.
• Create and run test cases specifically for data extraction, transformation, and loading (ETL) processes.
• Write and execute complex SQL queries for data validation and backend testing.
• Identify, report, and track defects systematically through project cycles.
• Clarify requirements and ensure comprehensive test coverage.

Required Skills

• 8+ years of experience in QA Automation.
• Strong SQL skills, including writing and optimizing complex queries.
• Proficiency in Python Automation, preferably using Playwright.
• Experience with ETL processes, including data extraction, transformation, and loading.
• Knowledge of SQL DBMS tools such as Oracle, Denodo, Azure Databricks, and SQL Server.
• Familiarity with Agile methodologies and defect tracking tools like JIRA.
• Understanding of data warehouse concepts.

Key Skills

Education

Any Graduate