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 direc