Lead automated data and software quality testing as a Senior ETL Developer in a hybrid assignment requiring three onsite days weekly. Work with Azure, Databricks, and Power BI.
This senior role combines data engineering, QA, and DevOps practices under the IT QA Lead. You will evaluate functionality, performance, automation, and data integrity. The environment includes Selenium, JMeter, JIRA, Excellent Expectations, Azure DevOps, and Git.
Key Responsibilities: Conduct functional, systems, performance, and automated testing
Track defects using JIRA or Azure DevOps
Test web applications, Power BI reports, and dashboards
Build testing frameworks integrated with CI/CD and DevOps practices
Collaborate with data engineers on reliable pipeline delivery
Requirements: Five-plus years in public-sector software, data, or QA work
Five-plus years of quality assurance and automated testing
Experience with Selenium and JMeter testing tools
Experience conducting data quality assessment, validation, and profiling
Experience developing Azure and Databricks pipelines using PySpark and SQL
Use QA automation, Great Expectations, Selenium, JMeter, and ETL expertise to strengthen data pipeline reliability.

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📌 Senior Data Engineering QA Developer (Ontario)
🏢 Rubicon Path
📍 Ontario