Data & Ai Engineer - Real World Data And Healthcare Intelligence

Reference Number:
R2874546Position Title:
Data & AI EngineerLocation:
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 processesFine-tune and optimize queries using Snowflake platform and databases techniquesOptimize ETL/data pipelines to balance performance, functionality, and other operational requirementsAssess and resolve data pipeline issues to ensure performance and timeliness of executionAssist with technical solution discovery to ensure technical feasibilityAssist in setting up and managing CI/CD pipelines and development of automated testsDeveloping and managing microservices using pythonConduct peer reviews for quality, consistency, and rigor for production level solutionDesign application architecture for efficient concurrent user handling, ensuring optimal performance during high usage periodsPromote best practices and standards for code management, automated testing, and deploymentsOwn all areas of the product lifecycle: design, development, test, deployment, operation, and supportCreate detail documentation on Confluence to be able to support and maintain codebase and its functionalityAbout You
Required Qualifications:
3+ years of relevant experience developing backend, integration, data pipelining, and infrastructureBachelor’s degree in computer science, engineering, or similar quantitative field of study - required.Expertise in database optimization and performance improvementExpertise in Python, PySpark, and SnowparkExperience data warehouse and object-relational database (Snowflake and PostgreSQL) and writing efficient SQL queriesExperience in cloud-based data platforms (Snowflake, AWSProficiency in developing robust, reliable APIs using Python and FastAPI FrameworkUnderstanding of data structures and algorithmsExperience 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-sideKnowledge 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 toidentifypatterns, 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 concernregardingyour personal information. You can also contact Canada’s Privacy Officer via Sanofi’s datasubject request portal, Data Subject Rights Webform. The Data Subject Rights Webform can also be used torequest 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.#GD-SP#LI-SP#DBBCA#LI-OnsiteAll 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.
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