Senior Cloud Data QA Engineer – ETL & Cloud Validation

TEEMA Group; Toronto; On-site; CAD 90,000 - 113,000; Full time

Job summary

TEEMA Group in Toronto is seeking a Senior Quality Engineer to lead data quality and testing across Azure and Google Cloud data platforms, including ETL pipelines, data validation, and SQL/database testing. You will design test strategies, develop automated tests, mentor junior engineers, and collaborate with data engineers, product, and operations to ensure reliable, scalable data solutions.

Experience with Azure Data Factory/Synapse, BigQuery, Dataflow, Dataproc, and CI/CD is preferred; strong

Qualifications

• 5+ years of experience in software quality engineering, with at least 3 years of experience in an enterprise data environment.
• Proven experience in automated testing tools (e.g., Selenium, JUnit, TestNG, or similar frameworks).
• Hands-on experience with data validation, transformation, and data pipeline testing in cloud environments, specifically Azure and/or Google Cloud Platform (GCP).
• Strong understanding of data management, data warehousing, ETL processes, and data integration.

Responsibilities

• Test Planning & Execution: Design detailed test strategies/plans, test cases, and test scripts to validate data accuracy, integrity, and system functionality in ETL pipelines across Azure and GCP, including both functional and non-functional testing.
• Data Quality: Monitor and ensure data accuracy, completeness, and consistency across data platforms including Azure Synapse/Fabric and Google BigQuery.
• Data Pipeline Testing: Design and execute tests for Data pipelines on Azure Fabric and Google Cloud services (Dataflow, Dataproc, Pub/Sub).
• SQL Database Testing: Develop and execute SQL-based automated tests for database validation across BigQuery and Azure SQL/Synapse.
• Performance Testing: Conduct performance testing for large-scale data systems across Azure and GCP.
• Automated Testing: Develop and maintain automated test frameworks for data applications and AI/ML data validation scenarios.
• Defect Tracking & Resolution: Identify, report, and track defects across multi-cloud data ecosystems.
• Continuous Improvement: Propose improvements to testing processes and frameworks for Azure and Google Cloud platforms.
• Collaboration: Partner with stakeholders to align with quality goals across enterprise data platforms.
• Mentorship: Guide junior quality engineers in modern data testing practices.
• Compliance & Best Practices: Ensure adherence to industry standards for data systems and cloud technologies.

Skills

Automation testing

Data validation

Cloud testing

Education

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field

Tools

Selenium

JUnit

TestNG

Python

SQL

Job description

TEEMA Group in Toronto is seeking a Senior Quality Engineer to lead data quality and testing across Azure and Google Cloud data platforms, including ETL pipelines, data validation, and SQL/database testing. You will design test strategies, develop automated tests, mentor junior engineers, and collaborate with data engineers, product, and operations to ensure reliable, scalable data solutions.

Experience with Azure Data Factory/Synapse, BigQuery, Dataflow, Dataproc, and CI/CD is preferred; strong