Data Engineer

Description:

Data Engineer

Department: Data Engineering I.

Location: Toronto, ON

About The Job

Ready to grow your skills while helping shape the future of healthcare? At Sanofi, you’ll be empowered to learn, ask questions, and bring your ideas to life – all while supported by inspiring mentors and collaborative teams.

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 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

Work with business teams to understand requirements, and translate them into technical needs 
Gather/organize large & complex data assets, and perform relevant analysis 
Ensure the quality of the data in coordination with Data Analysts and Data Scientists (peer validation) 
Propose and implement relevant data models for each business case 
Create data models and optimize queries performance 
Communicate results and findings in a structured way 
Partner with Product Owner and Data Analysts to prioritize the pipeline implementation plan 
Partner with Data Analysts and Data scientists to design pipelines relevant for business requirements 
Leverage existing or create new “standard data pipelines” within Sanofi to bring value through business use cases 
Ensure best practices in data manipulation are enforced end-to-end 
Actively contribute to Data governance community 
Remains up to date on company’s standards, industry practices and emerging technologies 

About You

Key Functional Requirements & Qualifications:

Experience working with a variety of cross-functional teams 
Good understanding of agile/scrum development processes and concepts
Able to work in a fast-paced, constantly evolving environment and manage multiple priorities 
Pragmatic and capable of solving complex issues 
Service-oriented, flexible team player 
Attention to detail & technical intuition 
Excellent written, verbal, and interpersonal skills for executive level communication and collaboration

Requirements

Key Technical Requirements & Qualifications:

2 years of experience with a Bachelor’s Degree or equivalent in Computer Science, Engineering, or relevant field 
Good knowledge of SQL and relational databases technologies/concepts
Experience working with data models and query tuning
Experience with CI/CD pipelines
Fluent in English

Preferred Requirements

Experience in Data warehousing solutions (Snowflake a plus) 
Experience in Integration Services (Informatica IICS, DBT a plus) 
Working knowledge of scripting languages (Python, R a plus)
Familiarity with Source Code Management Tools (GitHub)
Familiarity with Visualization Tools (PowerBI, Tableau)
Familiarity with Project Management Tools (JIRA, Confluence)
Familiarity with Service Management Tools (Service Now)
Experience working in life sciences/pharmaceutical industry
Relevant cloud certifications (AWS, Azure, Snowflake, IICS)
Fluent in other languages

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