Digitalents Graduate Program - Data Engineer

　　At Sanofi, we advance the process from discovery to therapy with the power of digital. We don't settle for less, and we hope you don't either. Digitalents is your opportunity to make a real impact on the transformation of our business and people's lives across the globe.

　　Why Digitalents?

　　Digitalents is a two-year program that gives you the opportunity to complete different assignments while working with professionals from all over the world.

　　You'll be part of a cohort, a community of talents, that will receive personalized guidance and support to help build the foundation for your future career. From empowering group learning and development experiences around the world to expert career advice, you'll work alongside and have exposure with senior leaders who are invested in your success.

　　About the role:

　　Join us on our journey in enabling Sanofi's Digital Transformation through becoming an AI (Artificial intelligence) 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 building 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

　　As a Data Engineer, you will have the opportunity to work on two assignments based in two separate locations: first year in Toronto (Canada), and the second year in Bridgewater (USA).

　　*Note: this role is a VIE opportunity and is only available to European citizens due to external regulations.

　　Main responsibilities as Data Engineer:

　　Propose and establish technical designs to meet business and technical requirements

　　Develop and maintain data engineering solutions based on requirementsand design specifications using appropriate tools and technologies

　　Create data pipelines / ETL (extract, transfort and load) 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 understandrequirements,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 (continuous integration) /CD (continuous deployment) pipelines

　　Gather/organize large & complex data assets, and perform relevant analysis

　　Conduct peer reviews for quality, consistency, and rigor for production level solution

　　Actively contribute to Data Engineering communityand define leading practices and frameworks

　　Communicate results and findings in a clear, structured manner to stakeholders

　　Remain up to date on the company's standards, industry practices and emerging technologies

　　About You:

　　Master's Degree in Computer Science, Engineering, or relevant field

　　Experience in data engineering, integration, data warehousing, business intelligence, business analytics, or comparable role with relevant technologies and tools (Spark/Scala, Informatica/IICS a plus)

　　Understanding of data structures and algorithms

　　Working knowledge of scripting languages(Python, Shell scripting)

　　Experience in cloud-based data platforms (Snowflake is a plus)

　　Experience with job scheduling and orchestration (Airflow is a plus)

　　Good knowledge of SQL and relational databases technologies/concepts

　　Experience working with data models andquery tuning

　　Experience working cross-functional teams to solve complex data architecture and engineering problems

　　Demonstrated ability to learn new data and software engineering technologies in short amount of time

　　Good understanding of agile/scrum development processes and concepts

　　Able to work in a fast-paced, constantly evolving environment and manage multiple priorities

　　Strong technical analysis and problem-solving skills related to data and technology solutions

　　Excellent written, verbal, and interpersonal skills with ability to communicate ideas, concepts and solutions to peers and leaders

　　Pragmatic and capable of solving complex issues, with technical intuitionand attention to detail

　　Service-oriented, flexible, and approachable team player

　　Fluent in English (Other languages are a plus)

　　Nice to haves:

　　Experience working in life sciences/pharmaceutical industry

　　Familiarity with data ingestion through batch, near real-time, and streaming environments

　　Familiarity with data warehouse concepts and architectures (data mesh would be a plus)

　　Familiarity with Source Code Management Tools (GitHub is a plus)

　　Please mind that only applications submitted in English will be considered.

　　Target start date: May 2024.

　　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, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.

　　Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!

　　#digitalents

　　At Sanofi diversity and inclusion is foundational to how we operate and embedded in our Core Values. We recognize to truly tap into the richness diversity brings we must lead with inclusion and have a workplace where those differences can thrive and be leveraged to empower the lives of our colleagues, patients and customers. We respect and celebrate the diversity of our people, their backgrounds and experiences and provide equal opportunity for all.