Accelerator Data Engineer (Paris)
- AI Factory: An extensive portfolio of AI products driving every stage of the company's value chain, from R&D and trials to manufacturing, supply chain, and commercial operations.
- Generative AI Platform: A technological foundation enabling the reliable, consistent, efficient, secure, scalable, and responsible development of Generative AI (Gen AI) products by optimizing system architecture, processes, and services.
- State-of-the-art Tech Stack: Globally deployed products using a state-of-the-art technology stack.
- 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 Software Engineers 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
- Strong experience in automation tools and methodologies
- Experience working with data models and query tuning
- Good understanding of AI concepts including Generative AI
- Experience on working within compliance (e.g.: quality, regulatory - data privacy, GxP, SOX) and cybersecurity requirements is a plus
- Experience in the healthcare industry is a strong plus
- Excellent written and verbal communication skills
- Experience working with multiple teams to drive alignment and results
- Service-oriented, flexible, positive team player
- Self-motivated, takes initiative
- Problem solving & critical thinking
- Experience with AWS cloud services (Azure & GCP a plus)
- Good knowledge of SQL, relational databases and vector databases (e.g., Pinecone) technologies/concepts
- Experience in Data warehousing solutions (Snowflake a plus)
- Experience in provisioning infrastructure leveraging infrastructure-as-code
tools (e.g.: Terraform)
- Experience in Integration Services (IICS, Tibco a plus)
- Good knowledge of scripting languages (Python, R a plus)
- Familiarity with Source Code Management Tools (GitHub a plus)
- Familiarity with Visualization Tools (PowerBI, Tableau a plus)
- Familiarity with Project Management Tools (JIRA, Confluence a plus)
- Familiarity with Service Management Tools (Service Now a plus)
- Relevant cloud certifications (AWS, Azure, Snowflake, IICS) are a plus
- Good knowledge of ServiceNow and monitoring tool such as Datadog, Splunk, BPPM
- Experience using frameworks to create pipelines (e.g. Apache Airflow, Kedro)
- Bachelor's Degree or equivalent in Computer Science, Engineering, or relevant field
- We provide a highly collaborative environment, with an opportunity to work with a world class team.
- Contribute to a company that is not only a leader in healthcare but also a pioneer in digital transformation, shaping the future of global health.
- 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 and at least 14 weeks' gender-neutral parental leave.
- Play an instrumental part in creating best practice within our manufacturing facility
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