Data & AI Engineer - Real World Data and Healthcare Intelligence

Reference Number: R2874546

Position Title: Data & AI Engineer

Location: Toronto, CA - Hybrid - 3 days per week onsite - required.

About the Job

Ready to push the limits of what’s possible? Join Sanofi in one of our corporate functions and you can play a vital part in the performance of our entire business while helping to make an impact on millions around the world. ​

About Sanofi

We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people’s lives.​

Main Responsibilities:

• Ownership of the entire back end of the application including the design, implementation, test, and troubleshooting of the core application logic, databases, data ingestion and transformation, data processing and orchestration of pipelines, APIs, CI/CD integration and other processes
• Fine-tune and optimize queries using Snowflake platform and databases techniques
• Optimize ETL/data pipelines to balance performance, functionality, and other operational requirements 
• Assess and resolve data pipeline issues to ensure performance and timeliness of execution
• Assist with technical solution discovery to ensure technical feasibility
• Assist in setting up and managing CI/CD pipelines and development of automated tests
• Developing and managing microservices using python
• Conduct peer reviews for quality, consistency, and rigor for production level solution
• Design application architecture for efficient concurrent user handling, ensuring optimal performance during high usage periods
• Promote best practices and standards for code management, automated testing, and deployments
• Own all areas of the product lifecycle: design, development, test, deployment, operation, and support
• Create detail documentation on Confluence to be able to support and maintain codebase and its functionality

 About You

Required Qualifications:

• 3+ years of relevant experience developing backend, integration, data pipelining, and infrastructure
• Bachelor’s degree in computer science, engineering, or similar quantitative field of study - required.
• Expertise in database optimization and performance improvement
• Expertise in Python, PySpark, and Snowpark
• Experience data warehouse and object-relational database (Snowflake and PostgreSQL) and writing efficient SQL queries
• Experience in cloud-based data platforms (Snowflake, AWS
• Proficiency in developing robust, reliable APIs using Python and FastAPI Framework
• Understanding of data structures and algorithms
• Experience in modern testing framework (SonarQube, K6 is a plus)
• Strong collaboration skills, willingness to work with others to ensure seamless integration of the server-side and client-side
• Knowledge of DevOps best practices and associated tools, a plus, especially in the setup, configuration, maintenance, and troubleshooting of associated tools: Containers and containerization technologies (Kubernetes, Argo, Red Hat OpenShift), Infrastructure as code (Terraform), Monitoring and Logging (CloudWatch, Grafana), CI/CD Pipelines (JFrog Artifactory), Scripting and automation (Python, GitHub, Github actions)

This position is for a current vacant role that we are actively hiring for.​

Applications received after the official close date will be reviewed on an individual basis.​

AI Usage

"Artificial Intelligence” refers to any systems that use automated processes, including algorithms and machine learning, to analyze data and make predictions, inferences, decisions, or recommendations without direct human involvement. These systems may process personal information to identify patterns, improve services, or support decision-making. The Company may use Artificial Intelligence for purposes including, but not limited to, resume screening and hiring, scheduling interviews or meetings, conducting surveys, matching skills with potential job openings, interview scoring, ensuring compliance with regulations applicable to our industry, and activities related to performance evaluation. Information collected and processed by the Company’s Artificial Intelligence systems may include the personal information detailed above and calendar availability. It excludes the information collected and processed for monitoring purposes. You should contact Human Resources if you have a question or concern regarding your personal information. You can also contact Canada’s Privacy Officer via Sanofi’s data subject request portal,  Data Subject Rights Webform. The Data Subject Rights Webform can also be used to request access or correction of your personal information and file a complaint.

Sanofi is an equal opportunity employer committed to culture, inclusion, and experience. Our goal is to attract, develop and retain highly talented employees, allowing us to benefit from a wide variety of experiences and perspectives. We welcome and encourage applications from all qualified applicants. Accommodations for persons with disabilities required during the recruitment process are available upon request.​

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All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.

Toute compensation sera déterminée en fonction de l'expérience démontrée. Les employés peuvent être admissibles à participer aux programmes d'avantages sociaux de l'entreprise. Des informations supplémentaires sur les avantages sociaux peuvent être trouvées ici.