Data Quality Engineer
As a Data Quality Engineer specializing in Tricentis Tosca Data Integrity at Cognizant, you will design and execute automated data validation across extract, transform, and load (ETL) processes, data warehouses, and data migrations. You will work with development and data engineering teams to verify data accuracy, completeness, consistency, and transformation rules across source and target systems.
This is a full-time, remote role open only to candidates located in Canada.
In this role, you will
Review business requirements, source-to-target mappings, and ETL designs to identify test scenarios and prepare test plans and cases.
Design and execute ETL, data warehouse, and data migration tests, including automated data validation scripts using Tosca Data Integrity.
Validate data accuracy, completeness, consistency, and transformation rules across source systems, staging layers, and target databases.
Perform source-to-target reconciliation and data integrity checks, using SQL queries to validate transformations and load processes.
Log, track, and retest defects in partnership with development and data engineering teams.
Collaborate with onshore and offshore teams to deliver testing activities and prepare test execution reports and knowledge-transfer documentation.
Provide regular status updates, identify risks, and support production validation activities.
What you need to have to be considered
6+ years of overall experience in software testing, ETL testing, and data validation, including 3+ years of hands-on experience with Tricentis Tosca Data Integrity.
Strong experience in ETL, data warehouse, and data migration testing, including validation across source systems, staging layers, and target databases.
Hands-on SQL query writing and database testing experience with relational databases such as SQL Server, Oracle, PostgreSQL, or DB2.
Strong understanding of ETL processes, data transformations, source-to-target mapping, data reconciliation, and data integrity testing.
Ability to analyze business requirements, data models, mapping documents, and technical specifications and translate them into test plans and test cases.
Experience with test execution and defect management using tools such as JIRA, Azure DevOps, or ALM.
Experience in Agile/Scrum environments and an onshore-offshore delivery model, with effective cross-functional collaboration.
Strong analytical, root-cause analysis, troubleshooting, and problem-solving skills, with clear verbal and written communication.
These will help you stand out
Insurance domain experience.
Experience with cloud data platforms such as Azure, AWS, or Snowflake.
Knowledge of data lake and big data testing.
Experience with Informatica, DataStage, SSIS, Talend, or other ETL tools.
Tosca Automation Certification.
Why Apply?
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 things to this role.
Salary and Other Compensation
Applications will be accepted until December 5, 2026.
The annual salary for this position is between CAN$ 76k and CAN$90k, 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
Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
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.
Important Disclaimers
Please note: A few of our roles may require in-person interviews at Cognizant offices or client locations, depending on project or client needs.
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
