Data Engineering Lead

Reference no. R2854815

Position title: Data Engineering Lead

Department: Data Engineering I.

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 an innovative global healthcare company, driven by one purpose: we chase the miracles of science to improve people’s lives. Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible. We provide potentially life-changing treatment options and life-saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the center of our ambitions.

Sanofi has recently embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions, to accelerate R&D, manufacturing and commercial performance and bring better drugs and vaccines to patients faster, to improve health and save lives.

Who You Are:
You are a dynamic Data Engineer Lead interested in challenging the status quo to ensure the seamless creation and operation of the data pipelines that are needed by Sanofi’s advanced analytic, AI and ML initiatives for the betterment of our global patients and customers. You are a valued influencer and leader who has contributed to making key datasets available to data scientists, analysts, and consumers throughout the enterprise to meet vital business use needs. You have a keen eye for improvement opportunities while continuing to fully comply with all data quality, security, and governance standards.

Our vision for digital, data analytics and AI

Join us on our journey in enabling Sanofi’s Digital Transformation through becoming an AI first organization. This means:

• AI Factory - Versatile Teams Operating in Cross Functional Pods: Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment.

• Leading Edge Tech Stack: Experience build products that will be deployed globally on a leading-edge tech stack.

• World Class Mentorship and Training: Working with renowned leaders and academics in machine learning to further develop your skillsets

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:

• Establish technical designs to meet Sanofi requirements aligned with the architectural and Data standards

• 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 database 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 

• Own all areas of the product lifecycle: design, development, test, deployment, operation, and support 

About you

• Bachelor’s degree in computer science, engineering, or similar quantitative field of study  
• 5+ 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 warehousing 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 DBT
• Experience in IICS is a plus
• 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 
• English is a must

Preferred

• Knowledge of DevOps best practices and associated tools is 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) 
• Experience with JIRA & Confluence 
• Workflow orchestration (Airflow)
• Message brokers (RabbitMQ)

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

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.