Senior Quality Engineer

TEEMA Group; Toronto; Presencial; CAD 90.000 - 113.000; Jornada completa

Descripción de la vacante

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

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Automation testing

Data validation

Cloud testing

Educación

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

Herramientas

Selenium

JUnit

TestNG

Python

SQL

Descripción del empleo

Job Title: Senior Quality Engineer

Job ID: 90882

Location: Toronto, Ontario

What you will be doing:

• 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 (e.g., Dataflow, Data Fusion, BigQuery pipelines), including both functional and non-functional testing.

• Data Quality: Collaborate with data engineers to monitor and ensure the accuracy, completeness, and consistency of data across various data platforms including Azure Synapse/Fabric and Google BigQuery, validating transformations and data integrity in ETL pipelines.

• Data Pipeline Testing: Collaborate with data engineering teams to design and execute tests for Data pipelines running on Azure Fabric as well as Google Cloud services such as Dataflow, Dataproc, and Pub/Sub-based pipelines, ensuring transformation, integration, and storage processes function as expected.

• SQL Database Testing: Development and execution of SQL-based automated tests for database validation, ensuring data integrity, performance, and security across multiple databases including BigQuery datasets and Azure SQL/Synapse environments.

• Performance Testing: Conduct performance testing to evaluate the scalability, stability, and performance of large-scale data systems across distributed cloud platforms including Azure and GCP.

• Automated Testing: Develop and maintain automated test frameworks for data applications, including ETL processes, APIs, and data integration systems using industry-standard tools, and extend automation to support BigQuery validation, GCP pipeline testing, and AI/ML data validation scenarios.

• Defect Tracking & Resolution: Work with development and operations teams to identify, report, and track defects across multi-cloud data ecosystems, ensuring timely resolution.

• Continuous Improvement: Propose and implement improvements to testing processes and frameworks to increase efficiency and effectiveness of quality assurance efforts across Azure and Google Cloud-based data platforms and AI-enabled data solutions.

• Collaboration: Partner with business stakeholders, project managers, and technical teams to ensure alignment with quality goals and deliverables across enterprise data platforms spanning multiple cloud providers.

• Mentorship: Provide guidance and mentorship to junior quality engineers, helping them improve their technical skills in modern data testing practices including cloud-native and AI-driven validation techniques.

• Compliance & Best Practices: Ensure adherence to industry standards and best practices related to software quality, particularly in relation to data systems, ETL processes, and cloud technologies including Azure and Google Cloud Platform environments.

What you must have:

• Education:

  • Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.

• Experience:

  • 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.
  • Experience with data warehousing, data lakes, and cloud-based ETL tools including Azure Data Factory, Azure Synapse, Google BigQuery, Dataflow, and Dataproc is a plus.

• Technical Skills:

  • Proficient in scripting languages (e.g., Python, Java, SQL) for test automation and ETL process validation.
  • Experience working with Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric, as well as Google Cloud services such as BigQuery, Dataflow and Cloud Composer (Airflow) for data pipeline orchestration and validation.
  • Strong knowledge of software development methodologies (Agile, Scrum, Waterfall) and experience in a continuous integration/continuous deployment (CI/CD) environment.
  • Familiarity with version control systems (e.g., Git), CI/CD tools (e.g., Jenkins, Azure DevOps), and cloud infrastructure (e.g., Azure, GCP).

• Soft Skills:

  • Strong analytical, problem-solving, and troubleshooting skills.
  • Excellent communication skills, with the ability to collaborate effectively across departments.
  • Detail-oriented with a passion for ensuring high-quality standards in data-driven solutions.
  • Ability to work independently and as part of a team, managing multiple priorities in a fast-paced environment.

Salary/Rate Range: $65.00 -$82.00/hr Inc.

Thank you for your interest in this opportunity. If you are selected to move forward in the process, we will contact you directly. If you do not hear from us, we encourage you to continue visiting our website for other roles that may be a good fit.

For more information about TEEMA and to consider other career opportunities, please visit our website at www.teemagroup.com