Sanofi

healthcare

DataEngineeringLead

$127–177k Toronto, Ontario, Canada FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“Data Engineering Lead at Sanofi. Skills: Data Engineering, Python, PySpark, Snowflake, AWS, API Development, Data Pipeline Orchestration. Establish technical designs to meet Sanofi requirements aligned with architectural and Data standards. Ownership of the entire back end of the application, including design, implementation, test, and troubleshooting of core application logic, databases, data ingestion and transformation, data processing and orchestration of pipelines, APIs, CI/CD integration a”

What You'll Achieve.

Seamless creation and operation of data pipelines; Making key datasets available to data scientists, analysts, and consumers; Meet vital business use needs; Comply with all data quality, security, and governance standards; Develop AI products; Bring better drugs and vaccines to patients faster; Improve health and save lives

Industry & Context.

healthcare
Problems you'll solve

Troubleshooting data pipeline issues; Assess and resolve data pipeline issues

What They're Looking For.

Must Have

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, English is a must

Nice to Have

Experience in IICS is a plus, Experience in modern testing framework (SonarQube, K6 is a plus), Knowledge of DevOps best practices and associated tools is a plus, 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)

What You'll Do.

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

Ownership of the entire back end of the application

and troubleshooting of core application logic

data ingestion and transformation

data processing and orchestration of pipelines

CI/CD integration and other processes

Fine-tune and optimize queries using Snowflake platform and database techniques

Optimize ETL/data pipelines to balance performance

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

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

How You'll Work.

Team & Collaboration

Collaboration skills; Willingness to work with others to ensure seamless integration of the server-side and client-side

Full Job Description

**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 Transfor

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