Position Description :
This role is hybrid and requires you to be at a Client office in downtown, Toronto at a minimum 4 days per week - subject to change at any time.
We are seeking a highly skilled professional with strong technical expertise in data engineering, automation, and cloud technologies. The ideal candidate will have hands-on experience in SQL, Python, and modern data platforms, along with a proven ability to design, implement, and test automated solutions.
Your future duties and responsibilities :
Data Development & Management
- Design, develop, and optimize complex SQL queries for data extraction, transformation, and loading (ETL).
- Implement Python scripts for data processing, automation, and integration tasks.
- Work with large datasets in Hadoop and Parquet formats to ensure efficient storage and retrieval.
Cloud & Infrastructure
Manage and maintain data workflows on AWS S3 and other cloud services.Utilize Unix / Linux environments for scripting, automation, and system operations.Automation & Testing
Develop and execute automated ETL testing frameworks to validate data pipelines.Implement automated API testing to ensure reliability and performance of integrations.Configure and maintain GitHub Actions for CI / CD pipelines and workflow automation.Version Control & Collaboration
Use GitHub for source code management, branching strategies, and collaborative development.Ensure proper documentation and adherence to best practices in version control.AI & Productivity Tools
Leverage AI-assisted coding tools such as Copilot to enhance development efficiency.Quality Assurance & Compliance
Ensure data integrity, security, and compliance with organizational and regulatory standards.Troubleshoot and resolve issues in data workflows and automation processes.Required qualifications to be successful in this role :
Excellent SQL coding skills.Strong Python programming experience.Hands-on experience with Unix / Linux environments.Familiarity with Hadoop, Parquet, and large-scale data processing.Proficiency in AWS S3 and cloud-based data solutions.Experience with GitHub and GitHub Actions for automation.Knowledge of automated ETL and API testing frameworks.Ability to work in a hybrid environment and collaborate effectively with cross-functional teams."CGI is providing a reasonable estimate of the pay range for this role. The determination of this range includes factors such as skill set level, geographic market, experience and training, and licenses and certifications. Compensation decisions depend on the facts and circumstances of each case. A reasonable estimate of the current range is $80,–$,. This role is an existing vacancy."
#LI-GS!
Skills :
Delivery ManagementDetail-orientedFinancial ServicesGitHubPythonSQLiteTest Case / Script DevelopmentTest DesignWaterfall Model