As a Senior QA Data Quality Engineer, you will lead quality assurance initiatives and collaborate with cross-functional technology teams to ensure the delivery of scalable, high-performance applications and platforms. The candidate will be responsible for building and maintaining automated test solutions to ensure high-quality software delivery. This is a technical, delivery-focused role requiring an understanding of modern automation practices, the ability to leverage AI-assisted development tools, and a commitment to maintaining high quality standards within complex data environments.
In this role, you will
- Responsible for overall quality of testing deliverables/activities.
- Execute complex data validation strategies, focusing on Snowflake or SQL-based data integrity.
- Develop and maintain basic Python scripts to automate testing tasks and streamline regression cycles.
- Integrate and manage automated workflows within CI/CD pipelines.
- Collaborate with technical teams to troubleshoot data discrepancies and ensure the robustness of the data ecosystem.
- Responsible for designing effective test cases to bring test optimization.
- Leverages the existing automation frameworks, tools and artifacts to ensure the testing process is continuous, comprehensive, and fully autonomous.
- Support the implementation of the QE Program and overall QE process and standards through continuous test execution and reporting.
- Closely work with the Application Development team as one team to integrate quality engineering mindset/concepts within the DevOps framework/pipeline.
Required skills
- Overall 6-10 years of experience in Python, Javascript, SQL and Unix testing platform, code reviews prior to code deployments, integration test automation.
- Automation & Scripting: Ability to create and update automation scripts using Python.
- Database Testing: Strong expertise in DB testing, specifically using Snowflake or advanced SQL.
- CI/CD Integration: Experience working with Airflow, Jenkins, or similar orchestration tools.
- QE SDLC: Good understanding of the full QE SDLC, including requirements gathering, test case/scenario creation, execution, and formal documentation.
- AI Integration: Practical exposure to using AI tools like Copilot or Cortex AI for code generation and efficiency.
Preferred skills
- Experience with regulatory reporting projects and/or financial services industry.
- QTest or any other defect management tool
- Experience working in Unix environments
We're eager to meet people who share our mission and can make an impact in various ways. Don't hesitate to apply, even if you only meet the required skills listed. Your transferable skills and experiences matter—help us see how you the right person for this role.
Working arrangements
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 Halifax, NS. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
Cognizant will only consider applicants for this position who are legally authorized to work in Canada without requiring employer sponsorship, now or at any time in the future.
Applications for this position are reviewed by our recruitment team without the use of artificial intelligence screening tools.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation 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.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] with your request and contact information.
