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.
À savoir avant de postuler
- Autorisation de travail: Cognizant ne prendra en considération que les candidats à ce poste qui sont légalement autorisés à travailler au Canada sans avoir besoin d'un parrainage de l'employeur, aujourd'hui ou à l'avenir.
- Mesures d’adaptation: Si vous avez un handicap qui nécessite des mesures d’adaptation raisonnable pour effectuer une recherche d’emploi ou poser une candidature, veuillez envoyer un courriel à [email protected] avec votre demande et vos coordonnées.
- L’IA dans notre processus de recrutement: Nous utilisons des outils d'intelligence artificielle (IA) pour trier et évaluer les candidatures efficacement. Notre équipe examine ensuite les candidatures et décide qui passe à l’étape suivante.
- Poste à pourvoir: Sauf indication contraire, ce poste est actuellement vacant et nous cherchons à le pourvoir.
- Exigences linguistiques: Nous demandons à tous les candidats de posséder une connaissance de base de l’anglais afin de faciliter les communications internes. Pour les postes au Québec, la capacité à communiquer efficacement en anglais est requise car vous fournirez des services à et collaborerez avec des parties prenantes anglophones situées hors de la province.
- Inclusion: Cognizant est un employeur souscrivant au principe de l’égalité d’accès à l’emploi. Votre candidature et votre dossier ne seront pas examinés en fonction de la race, de la couleur, du sexe, de la religion, des croyances, de l'orientation sexuelle, de l'identité de genre, de l'origine nationale, du handicap, des renseignements génétiques, de la grossesse, du statut d'ancien combattant ou de toute autre caractéristique protégée par les lois fédérales, provinciales ou locales.
À propos de Cognizant
Cognizant (NASDAQ: CTSH) est un AI Builder et une entreprise de services numériques (ESN) élaborant des solutions complètes d’IA maximisant les investissements pour des résultats concrets. Sa profonde expertise des métiers, des processus et des technologies lui permet d’intégrer dans les systèmes technologiques le contexte unique de chaque organisation de l’ingénierie à la production à l’échelle. Son objectif: améliorer l’efficacité des équipes, créer de la valeur et permettre aux grandes entreprises de rester performantes dans un monde qui évolue rapidement. Pour en savoir plus: cognizant.ai ou @cognizant.
