Big Data Engineer (Snowflake & Big Data)
About the Role
As a Big Data Engineer, you will make an impact by designing, developing, and optimizing scalable data platforms, ETL processes, and data pipelines that enable business-critical analytics and reporting. You will be a valued member of the Data Engineering team and work collaboratively with architects, developers, DevOps teams, product owners, and business stakeholders to deliver secure, high-quality data solutions.
In This Role, You Will:
- Design, develop, and maintain scalable data pipelines and ingestion frameworks using Big Data technologies and Snowflake.
- Build and optimize ETL processes to support data integration, transformation, and delivery across multiple platforms.
- Develop efficient SQL queries, stored procedures, and data models to ensure high-performance data processing.
- Ensure data quality, security, reliability, and governance standards across the data ecosystem.
- Monitor, troubleshoot, and continuously improve data workflows, platform performance, and operational processes.
Work Model
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 per week onsite in Toronto, Ontario. Regardless of your working arrangement, we are here to support a healthy work-life balance through 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.
What You Need to Have to Be Considered
- Bachelor's or Master's degree in Computer Science, Data Engineering, Information Technology, or a related field.
- 5+ years of experience designing and implementing data solutions using Big Data technologies such as Hadoop, Spark, and Hive.
- Hands-on experience with the Snowflake Data Platform.
- Strong SQL development skills and solid understanding of data modeling concepts.
- Experience developing applications and APIs using Scala or Java.
- Experience with ETL and orchestration tools such as Informatica, Talend, or Apache Airflow.
- Experience working with cloud platforms, preferably AWS.
- Understanding of DevSecOps practices, CI/CD pipelines, source control management, and Infrastructure as Code.
- Strong analytical, troubleshooting, communication, and problem-solving skills.
- Knowledge of Generative AI tools to improve coding efficiency and developer productivity.
These Will Help You Stand Out
- Experience with Apache Airflow or other workflow orchestration tools.
- Experience with GitHub Actions, automated testing frameworks, Git, and modern CI/CD practices.
- Knowledge of Docker, Kubernetes, OpenShift (OCP4), or containerized application deployment.
- Experience with Python, Shell Scripting, or other automation languages.
- Experience integrating Snowflake with reporting, analytics, and business intelligence platforms.
We're excited to meet people who share our passion for technology and innovation 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 perspectives to this role.
Salary and Other Compensation:
Applications will be accepted until September 17, 2026.
The annual salary for this position is between CAD 53,000 – CAD 84,000 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
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.
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 relatives à la rémunération du poste à pourvoir dépendent de la date de publication de l’offre de poste. Cognizant se réserve le droit de modifier ces informations à tout moment, sous réserve des lois applicables.
Cognizant est un employeur soucieux de l'égalité des chances entre candidats. Votre candidature sera étudiée indépendamment de votre race, couleur, sexe, religion, croyances, orientation sexuelle, identité de genre, origine, handicap, informations génétiques, grossesse, statut d'ancien militaire ou de toute autre critère jugé discriminant par les lois européennes ou françaises.
Vous êtes porteur d'un handicap, vous pouvez-nous contacter par courriel [email protected] si vous souhaitez préciser les aménagements nécessaires pour le poste ou les entretiens à venir.
Les candidats peuvent être invités à participer à des entretiens en face à face ou par vidéoconférence. En outre, les candidats peuvent être amenés à présenter une carte d'identité valide lors de chaque entretien.
