Elevate data quality as an ETL QA Engineer specializing in Databricks and PySpark. This position emphasizes AI-assisted development and efficient 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 innovative QA practices and leverage AI tools to enhance efficiency.
📌 ETL QA Engineer with Databricks Expertise (Toronto)
🏢 Kumaran Systems
📍 Toronto
Reply to this offer
Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.