Description

Lead quality assurance for data migration and ETL pipelines in an Agile environment.

Responsibilities

• Collaborate with developers and UAT users to translate architecture and requirements into documented test results.
• Execute end-to-end testing of data migrations and ETL pipelines moving to the cloud.
• Create and maintain data scenarios to support comprehensive test plans and test cases.
• Analyze test results, track bugs through to closure, and obtain formal sign-off from business stakeholders.

Required Skills

• 5+ years of experience in QA or testing roles.
• Proficiency in Python and SQL, including writing complex queries to validate data between source and target.
• Experience testing ETL or data pipelines, specifically involving AWS services like Glue PySpark, S3, and Lambda.
• Hands-on automation testing experience using Selenium.
• Strong understanding of Agile/Scrum methodologies.
• Ability to document test plans, test cases, and detailed expected vs. actual results.
• Any graduate degree.

Key Skills

Education

Any gradudate