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, Outstanding 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.

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