Lead Data Engineer
Lead Data Engineer
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 that will accelerate Manufacturing & Supply performance and help bring 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 design and 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. 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 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
There are multiple vacancies across our Digital profiles and NA region. Further assessments will be completed to determine specific function and level of hired candidates.
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
Create data pipelines / ETL pipelines and optimize performance
Test and validate developed solution to ensure it meets requirements
Coach other members of data engineering teams on workflows, technical topics, pipeline management
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
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 community and define leading practices and frameworks
Communicate results and findings in a clear, structured manner to stakeholders
Remains up to date on the company’s standards, industry practices and emerging technologies
Key Functional Requirements & Qualifications:
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 intuition and attention to detail
Service-oriented, flexible, and approachable team player
Fluent in English (Other languages a plus)
Key Technical Requirements & Qualifications:
Bachelor’s Degree or equivalent in Computer Science, Engineering, or relevant field
6+ years of experience in data engineering, integration, data warehousing, business intelligence, business analytics, or comparable role with relevant technologies and tools, such as Spark/Scala, Informatica/IICS/Dbt
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 and query tuning
Nice to haves:
Experience working in life sciences/pharmaceutical industry is a plus
Familiarity with data ingestion through batch, near real-time, and streaming environments
Familiarity with data warehouse concepts and architectures (data mesh a plus)
Familiarity with Source Code Management Tools (GitHub a plus)
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.