Quality Assurance Engineer; Azure Databricks

Position: Quality Assurance Engineer (Azure Databricks)
About the role
As a  Quality Assurance Engineer , you will make an impact by ensuring the delivery of high‑quality data solutions on Azure and Databricks platforms. You will be a valued member of the engineering and delivery team, working closely with business partners, product owners, developers, and business analysts to validate data accuracy, functionality, and system performance.

In this role, you will:

Participate in daily stand‑ups, Scrum ceremonies, and quarterly PI planning to support ongoing delivery.

Collaborate with business and product teams to understand functional requirements and translate them into detailed test plans and test cases.

Develop, execute, and maintain test plans, test scripts, and test case documentation.

Perform data validation, data lineage checks, defect analysis, defect logging, and defect management using modern testing tools.

Use SQL and Databricks notebooks to query and validate data within cloud environments.

Walk through test scenarios and readiness with developers, engineers, and business system analysts.

Provide final test sign‑off once all required validations have been completed.

Work model
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a  hybrid position requiring 4 days a week  in a client or Cognizant office in  Toronto, Ontario . Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting and may change based on project or client requirements. Rest assured; we will always communicate expectations clearly.

What you need to have to be considered

Experience using  testing tools ,  test case management systems , and  defect management processes .

Strong understanding of  source‑to‑target mapping (STTM) ,  data lineage , and  data testing .

Ability to write and execute  SQL queries  for data validation.

Solid knowledge of  cloud concepts , preferably within Azure.

Hands‑on experience using  Databricks notebooks  for querying and validating cloud‑based data.

Experience creating  test scripts , test plans, and structured testing documentation.

These will help you stand out

Prior experience testing in  big data  or  cloud analytics environments .

Working knowledge of Agile methodologies and comfort engaging in Scrum ceremonies.

Strong communication skills and confidence in presenting test results to cross‑functional teams.

Ability to troubleshoot data or system issues collaboratively with engineering teams.

Experience validating ETL, data pipelines, or analytics workflows.

We're excited to meet people who share our mission and can make an impact in a variety of ways. Don’t hesitate to apply—even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting perspectives to this role.

Salary and Other Compensation
Applications will be accepted until March 15, 2026.

The annual salary for this position is between $ 100,000 - $ 125,000 CAD depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

Benefits:

Medical/Dental/Vision/Life Insurance

Paid holidays plus Paid Time Off

401(k) plan and contributions

Long-term/Short-term Disability

Paid Parental Leave

Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

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