Data and AI Engineer

Reference no. R2857077 Position title: Data and AI Engineer Department: RWD & HI Engineering Location: Toronto, ON 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.   We are looking for a Data & AI Engineer to join our digital data team in the data architecture operation and governance team to build and operationalize data pipelines necessary for the enterprise data and analytics and insights initiatives, following industry standard practices and tools. The bulk of the work would be in building, managing, and optimizing data pipelines and then moving them effectively into production for key data and analytics consumers like business/data analysts, data scientists or any persona that needs curated data for data and analytics use cases across the enterprise. In addition, guarantee compliance with data governance and data security requirements while creating, improving, and operationalizing these integrated and reusable data pipelines.       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: In this role you will develop globally scalable solutions that are needed by Sanofi’s advanced analytic, AI and ML initiatives for the betterment of our global patients and customers. Specifically, Propose and establish technical designs to meet business and technical requirements Develop and maintain data engineering solutions based on requirements and design specifications using appropriate tools and technologies Ownership of the 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 Create data/MLops pipelines / ETL pipelines and optimize performance Test and validate developed solution to ensure it meets requirements Create design and development documentation based on standards for knowledge transfer, training, and maintenance Work with business and products teams to understand requirements, and translate them into technical needs  Adhere to and promote to best practices and standards for code management, automated testing, and deployments Leverage existing or create new standard data pipelines within Sanofi to bring value through business use cases   Develop automated tests for CI/CD pipelines Conduct peer reviews for quality, consistency, and rigor for production level solution Actively contribute to Data Engineering community and define leading practices and frameworks Remains up to date on the company’s standards, industry practices and emerging technologies    About You Qualifications: Bachelor’s Degree or equivalent in Computer Science, Engineering, or relevant field  3+ years of relevant experience developing backend, integration, data pipelining, and infrastructure 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) is a must 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: Infrastructure as code (Terraform) Monitoring and Logging (CloudWatch, Grafana) CI/CD Pipelines (JFrog Artifactory) Scripting and automation (Python, GitHub, Github actions) Containers and containerization technologies (Kubernetes, Argo, Red Hat OpenShift) Soft Skills: Pragmatic and capable of solving complex issues    Ability to understand business needs   Good communication   Push innovative solutions   Service-oriented, flexible & team player   Self-motivated, take initiative   Attention to detail & technical intuition  Why Choose Us?   Bring the miracles of science to life alongside a supportive, future-focused team.  Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.  Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.  Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs.  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 diversity and inclusion. Our goal is to attract, develop and retain highly talented employees from diverse backgrounds, 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  #LI-Onsite #DBBCA Pursue progress, discover extraordinary Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people. At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com! North America Applicants Only The salary range for this position is: 100,500.00 - 150,500.00 (Includes target bonus) Final compensation will be determined based on demonstrated experience, skills, location, and other relevant factors. Employees may be eligible to participate in Company employee benefits programs, and additional benefits information can be found through the (CA)LINKOR (US) LINK. La fourchette salariale pour ce poste est la suivante: 100,500.00 - 150,500.00 (Comprend le bonus cible) La rémunération finale sera déterminée en fonction de l'expérience démontrée, des compétences, du lieu de travail et d'autres facteurs pertinents. Les employés peuvent être admissibles à participer aux programmes d'avantages sociaux de l'entreprise, et des informations supplémentaires sur les avantages sociaux peuvent être trouvées via le lien