Our financial services client is seeking a Test Engineer (10+ years) to develop automated testing frameworks using Databricks and Spark Join a quality assurance team focused on automated testing across data platforms and application environments.

This role sits at the intersection of software testing, data engineering, and automation, with responsibility for building reusable testing frameworks validating data integrity, ETL/ELT workflows, and regression scenarios.

The position emphasizes scalable automation solutions supporting Databricks-based Spark pipelines and automated data validation.

Permanent, Toronto, Working Hours: EST Hybrid: 3 times a week on site Must Haves 10+ years in Quality Assurance and Automated Testing Hands-on development using Python , PySpark,



and SQL for automated data testing Experience building automated testing frameworks for Databricks-based Spark pipelines and ETL/ELT workflows Testing across data pipelines , databases, and regression validation through automation Education details not provided Nice to Have Pytest Selenium Snowflake and SQL Server AWS services, Amazon Redshift, and Amazon Athena Data migration and database validation automation Responsibilities Design automated testing frameworks for application and data validation Implement reusable testing components and automation processes Validate data integrity and system functionality through automation Test Databricks-based Spark pipelines and ETL/ELT workflows Build automated validation suites using Python, PySpark, and SQL Execute regression validation for current development changes Salary Range: $ - $ /year

📌 Test Engineer to develop automated testing frameworks using Databricks and Spark- 17577 (Toronto)
🏢 S.i. Systems
📍 Toronto