Senior Data Engineer

Who we are in a nutshell:

We are a global biopharmaceutical company focused on human health. Our purpose is to find treatment to fight pain and ease suffering. We combine breakthrough science and advanced technology to develop life-changing medicines and vaccines.

Digital & Data is at the heart of Sanofi: our ambition is to be the leading digital healthcare platform to develop & deliver medicine faster, enable healthcare professionals to improve treatments and help patients improve their health. Our scale, strong connections within health ecosystems across leveraging the world, and ability to leverage Sanofi’s capabilities make us the best place to push the boundaries of medicine through technology.

You as a Data Engineer:

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 for the enterprise data and analytics initiatives following industry standard practices and tools 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.

Your key responsibilities will be:

• 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

Key Technical Requirements & Qualifications:

• Experience with AWS cloud services (Azure & GCP a plus)
• Good knowledge of SQL and relational databases technologies/concepts
• Experience working with data models and query tuning
• Experience in Data warehousing solutions (Snowflake a plus)
• Experience in Integration Services (IICS, Tibco a plus)
• Working 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)
• Experience working in life sciences/pharmaceutical industry is a plus
• Relevant cloud certifications (AWS, Azure, Snowflake, IICS) are a plus
• Experience on working within compliance (e.g.: quality, regulatory - data privacy, GxP, SOX) and cybersecurity requirements is a plus

Additional qualifications:

• Strong experience in automation tools and methodologies specifically using Gitlab, Github action, Terraform, Ansible
• Experience with programming languages such as JSON, YAML, Shell Scripting.
• Experience with backup system like Netbackup & CommVault
• Good knowledge of ServiceNow and monitoring tool such as Splunk, BPPM
• Experience with Real World Data (e,g, EHR, Claims) and standard data models (e,g, OMOP, FHIR)
• Experience using frameworks to create pipelines (e.g. Apache Airflow, Kedro)

Soft and behavioral skills:

• 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

Your background:

• 3-5 years of experiences in a data team as Data Engineer
• Bachelor’s Degree or equivalent in Computer Science, Engineering, or relevant field
• Experience in the healthcare industry is a strong plus