Senior QA Automation Engineer - Data & Cloud Testing (Hybrid)

Creative Solutions Services, LLC; Toronto; Hybrid; CAD 124,000 - 138,000; Part time

Benefits offered by this job

Medical, Vision, and Dental Insurance

401k Retirement Fund

Job summary

Creative Solutions Services, LLC in Toronto is seeking a Senior QA Automation Engineer to build and evolve automation frameworks for data movement, large-volume data validation, and cloud-based analytics platforms.

You will bring strong automation experience with Python, Selenium, PyTest, and SQL testing, and work with Azure Databricks, Delta Lake, and Copilot tools to accelerate quality engineering outcomes.

Qualifications

• 6–10 years of technology experience with hands-on QA automation and data testing.
• Strong programming experience with Python or similar scripting languages.
• Hands-on experience with Selenium, PyTest, API testing, and automated test execution.
• Strong SQL and data validation experience for large-volume data moves.
• Practical experience with Azure-based data platforms and services.
• Experience using AI-enabled tooling to accelerate test design and automation while maintaining control.

Responsibilities

• Design, develop, and maintain automated testing frameworks for data pipelines, APIs, and cloud data platforms.
• Validate data movement with automated controls for completeness, accuracy, and schema checks.
• Develop strategies for Azure-based data platforms (Databricks, Delta Lake, PySpark, Data Factory).
• Build automated validation for REST APIs and data integrations.
• Collaborate with testers, business users, and developers to ensure coverage and quality.

Skills

QA automation

Python

Selenium

PyTest

APIs testing

SQL

Azure Databricks

Spark SQL

Azure Data Factory

AI tools

Communication

Education

University degree in CS

Tools

GitHub Copilot

Databricks notebooks

Job description

Creative Solutions Services, LLC in Toronto is seeking a Senior QA Automation Engineer to build and evolve automation frameworks for data movement, large-volume data validation, and cloud-based analytics platforms.

You will bring strong automation experience with Python, Selenium, PyTest, and SQL testing, and work with Azure Databricks, Delta Lake, and Copilot tools to accelerate quality engineering outcomes.