Senior Quality Engineer
- Toronto, ON, Canada
$65 to $80 CAD / hour · Contract
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Job details
- Pay
- $65 to $80 CAD / hour
- Job type
- Contract
- Apply by
- Experience
- 5+ years of Quality Engineering / QA Automation experience
- Posting language
- English
- Posted
Original job description
Senior Quality Engineer (Data Platforms & Cloud)
6-Month Contract (Potential Extension)
$65-$80/hr INC
Hybrid - 3 Days Onsite (Downtown Toronto)
Equitable Bank is seeking a Senior Quality Engineer to support the delivery of enterprise data platforms and cloud-based solutions. This role is focused on quality engineering, test automation, ETL validation, and data pipeline testing across Azure and Google Cloud environments. You'll work closely with data engineers, developers, and product teams to ensure data accuracy, integrity, and performance across large-scale data platforms.
Key Responsibilities
- Design and execute test strategies, test cases, and automated test frameworks
- Validate ETL processes, data transformations, and data pipeline workflows
- Perform SQL-based data validation and database testing
- Test cloud data platforms across Azure and GCP environments
- Execute performance, integration, and regression testing
- Support CI/CD testing processes and automation initiatives
- Identify, track, and resolve defects across enterprise data solutions
- Collaborate with data engineering and development teams to ensure data quality and reliability
- Mentor junior team members and contribute to quality engineering best practices
Required Skills & Experience
- 5+ years of Quality Engineering / QA Automation experience
- 3+ years supporting enterprise data, data warehouse, or ETL environments
- Strong experience with ETL testing, data validation, and data pipeline testing
- Advanced SQL skills for data quality and database validation
- Experience building automated testing frameworks
- Hands-on experience with Azure and/or Google Cloud Platform
- Strong knowledge of data warehousing, data lakes, and data integration
- Experience with Python, Java, or SQL scripting
- Experience working within Agile and CI/CD environments
Preferred Technologies
- Microsoft Fabric
- Azure Data Factory (ADF)
- Azure Synapse Analytics
- BigQuery
- Dataflow
- Dataproc
- Cloud Composer (Airflow)
- Azure DevOps
- Jenkins
- Git
This is an excellent opportunity for a Senior Quality Engineer with a strong background in data platforms, cloud technologies, test automation, and ETL validation to contribute to large-scale enterprise data initiatives within a leading financial services environment.
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This posting is for an existing vacancy with the organization.
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More about this job
Responsibilities
Design and execute test strategies and automated frameworks, validate ETL processes and data pipelines, and perform SQL-based, integration, regression, and performance testing across Azure and Google Cloud platforms. Track and resolve defects, support CI/CD quality initiatives, collaborate with data and development teams, and mentor junior team members.
Requirements
Requires 5+ years of quality engineering or QA automation experience and 3+ years supporting enterprise data, data warehouse, or ETL environments. Candidates should have advanced SQL, ETL and pipeline testing, automated framework development, Azure and/or Google Cloud experience, data warehousing knowledge, scripting skills, and experience with Agile and CI/CD.
Skills
- Quality Engineering
- QA Automation
- ETL Testing
- Data Validation
- Data Pipeline Testing
- SQL
- Automated Testing Frameworks
- Azure
- Google Cloud Platform
- Data Warehousing
- Data Lakes
- Python
- Java
- Agile
- CI/CD
- Performance Testing
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Data & Analytics
- Software
- Engineering
Keywords
- Quality Engineering
- QA Automation
- Test Automation
- ETL Testing
- Data Validation
- Data Pipelines
- SQL
- Database Testing
- Azure
- Google Cloud Platform
- Data Warehousing
- Data Lakes
- Data Integration
- Python
- Java
- Agile
- CI/CD
- Performance Testing
- Integration Testing
- Regression Testing
- Microsoft Fabric
- Azure Data Factory
- Azure Synapse Analytics
- BigQuery
- Dataflow
- Dataproc
- Cloud Composer
- Airflow
- Azure DevOps
- Jenkins