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.
コグニザントについて
コグニザント（NASDAQ: CTSH）は、AI Builderおよびテクノロジーサービスプロバイダーとして、お客様にフルスタックのAIソリューションを構築することで、AI投資と企業価値を結ぶ架け橋となっています。業界、ビジネスプロセス、エンジニアリングに関する当社の深い専門知識を活かし、組織固有のビジネス環境をテクノロジー・システムに組み込みます。これにより、人間の可能性を最大限に引き出し、確かな成果を実現するとともに、急速に変化する世界においてグローバル企業が常に一歩先を行くための支援を行っています。 詳細については、cognizant.ai をご覧ください。
雇用に関する追加情報
本募集に記載されている報酬情報は、掲載日時点で正確なものです。Cognizantは、適用される法令に従い、いつでも本情報を変更する権利を留保します。
応募者は、対面またはビデオ会議による面接への参加を求められる場合があります。また、各面接の際に、現在有効な州政府または政府発行の身分証明書の提示を求められる場合があります。
Cognizantは機会均等雇用主です。応募および選考において、人種、肌の色、性別、宗教、信条、性的指向、性自認、国籍、障がい、遺伝情報、妊娠、退役軍人の地位、その他連邦法・州法・地方自治体の法律により保護されるいかなる特性に基づく差別も行いません。
