Enterprise data platform validation anchors this Quality Engineer role, combining Databricks, SQL, database testing, and Playwright automation expertise.
This position supports quality engineering across enterprise data platforms and pipelines while maintaining web application test automation. Required capabilities include Playwright, test automation framework design, SQL, database testing, Python scripting, and data validation. Experience with Agile/Scrum environments and production defects is also specified.
Key Responsibilities:
- Validate enterprise data platforms and pipelines
- Test data platforms including Databricks
- Apply SQL during database testing activities
- Use Python for data validation and automation
- Resolve production defects and related issues
Requirements:
- Six to eight years in quality engineering or software testing
- Playwright expertise for end-to-end UI automation
- Experience designing test automation frameworks
- Solid hands-on database testing experience
- Agile/Scrum experience in software testing environments
Use Databricks, SQL, Playwright, and Python expertise to validate enterprise platforms and strengthen automated quality testing.
📌 Enterprise Data Validation Quality Engineer (Toronto)
🏢 BlackCube Labs
📍 Toronto
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