Elevate data quality as an ETL QA Engineer specializing in Databricks and PySpark. This position emphasizes AI-assisted development and productive data pipeline validation.
We are seeking a highly skilled ETL QA Engineer with extensive experience in Databricks and expert-level PySpark capabilities. You'll focus on ensuring the integrity of large-scale data pipelines and leverage tools such as GitHub Copilot and AI agents to increase testing efficiency. Your role will also include contributing to AI-driven knowledge bases and fostering a robust testing culture.
Key Responsibilities:
• Validate large-scale data pipelines for quality assurance
• Utilize PySpark for transformations and optimization techniques
• Implement CI/CD using GitHub Copilot and actions




• Construct effective prompts for testing with AI tools
• Document complex data validation processes clearly
Requirements:
• Expertise in Databricks notebooks, jobs, and Delta Lake
• Proven proficiency in automated testing frameworks
• Solid understanding of ETL/ELT concepts and data warehousing
• Experience with agent-based architectures in QA
• Detail-oriented approach to problem-solving
Drive data excellence through creative QA practices and leverage AI tools to enhance efficiency.
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📌 Etl Qa Engineer With Databricks Expertise Toronto (Canada)
🏢 Kumaran Systems
📍 Canada