Practice - AIA - Artificial Intelligence and Analytics
About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.
By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models. Cognizant’s AIA practice takes insights that are buried in data and provides businesses a clear way to transform how they source, interpret and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
Job Summary
We are seeking an Azure Data Engineer with strong expertise in Databricks and PySpark to build and maintain scalable data pipelines on the Azure platform. This role focuses on transforming business requirements into technical solutions, supporting data integration, and ensuring high-quality data delivery. You will work closely with business analysts, product teams, and offshore developers to deliver reliable and efficient data engineering solutions. The position requires solid programming skills, experience with cloud data platforms, and familiarity with Agile delivery models.
In this role, you will:
· Design, develop, and maintain data pipelines using Azure Databricks and PySpark.
· Collaborate with business analysts and product teams to understand and translate requirements into technical solutions.
· Create technical specifications and source-to-target mapping documents.
· Write, test, and optimize PySpark code and Databricks notebooks for data processing.
· Perform unit testing and support defect resolution with QA and business testers.
· Coordinate with administrators for deployment, version control, and release management.
· Lead and coordinate offshore development teams to ensure timely delivery of solutions.
· Participate in Agile ceremonies including daily stand-ups, sprint planning, and PI discussions.
What you need to have to be considered
· 8–10 years of experience in data engineering with strong expertise in Azure Databricks.
· Hands-on experience with Python, PySpark, and Databricks notebooks.
· Good understanding of data engineering concepts, ETL/ELT pipelines, and data transformations.
· Proficiency with version control tools such as GitHub.
· Experience in creating technical specifications and data mapping documents.
· Familiarity with Unity Catalog or similar data governance tools is a plus.
· Strong collaboration and communication skills, including experience working with offshore teams.
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Applications will be accepted until 26 Jun 2026.
Salary and Other Compensation:
The annual salary for this position is between $[107,000 - 125,500] 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
· Long-term/Short-term Disability
· Paid Parental Leave
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.
Renseignments suppplémentaires sur l'emploi
Les informations sur la rémunération sont exactes à la date de publication. Cognizant se réserve le droit de modifier ces informations à tout moment, conformément aux lois applicables.
Les exigences linguistiques varient selon les postes, mais nous demandons à tous les candidats d’avoir une connaissance de base de l’anglais afin de faciliter les communications internes à l’échelle de l’entreprise. Pour les postes basés au Québec, une maîtrise de l’anglais est requise puisque vous fournirez des services et collaborerez avec des parties prenantes situées hors de la province, qui ne parlent pas nécessairement le français.
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, de l'information génétique, de la grossesse, du statut d'ancien combattant ou de toute autre caractéristique protégée telle que décrite par les lois fédérales, provinciales ou locales.
Si vous avez un handicap qui nécessite un aménagement raisonnable pour rechercher une offre d'emploi ou poser une candidature, envoyiez un courriel à [email protected] avec votre demande et vos coordonnées.
