Accelerator Lead Data & AI Engineering (Paris)
- Location: Paris
- Hybrid 3 days on site 2 WFH
- Work with business teams to understand requirements, and translate them into technical needs
- Support operations with the appropriate mindset-oriented Operation Excellence
- Enforce compliance requirements of the solution in regards of GxP regulation
- Work in transverse with Cloud & Data architects, Product Owners, Scrum Masters, Development teams and ExternalPartners
- Work with product owner to build the vision and challengesolutions
- Design & develop optimized modules meeting reliability, reusability, latency & performance & requirements
- Support the Data modules engineers for designing optimized data models
- Define support models and be responsible for build and run activities
- Build, lead, manage and articulate a team of data enginners
- Continuous support to help team members throughout their personal and professional developments
- Adapt the modules to optimize the running costs
- Participate to the community of practice and act as a leader in the community
- Mentor the juniors and senior practitioners
- 8 to 10 years experience
- Experience developing deployable code and deploying data pipelines and data models in product-focused development under an agile environment
- Strong experience in production-ready software development
- Excellent management and articulation of a team of Data Engineers
- Continuous support to help team members throughout their personal and professional development
- Experience in a healthcare company is a strong plus
- Experience on working within compliance (e.g.: quality, regulatory - data privacy, GxP, SOX) and cybersecurity requirements is a 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 is a plus)
- Strong knowledge of SQL and relational databases technologies/concepts
- Experience working with data models and query tuning
- Experience in Data warehousing solutions (Snowflake)
- Experience in Integration Services (IICS, Tibco a plus)
- Working knowledge of scripting languages (Python, R a plus)
- Experience with Source Code Management Tools (GitHub a plus)
- Experience with timeseries database and Graph database (e,g: TigerDB, Neo4J)
- Experience using orchestration to create pipelines (e.g. Apache Airflow)
- Experience with Product Management Tools (JIRA, Confluence a plus)
- Familiarity with Service Management Tools (Service Now a plus)
- Strong experience in automation tools and methodologies specifically using Github action, Terraform, Ansible
- Experience with programming languages such as JSON, YAML, ShellScripting
- Experience with backup system like Netbackup & CommVault
- Good knowledge of ServiceNow, monitoring tool such as Splunk, Datadog, BPPM and experience in finops pratice
- Experience with a wide variety of data sources, such as structured and unstructured data, IoT data
- Good knowledge of cybersecurity best practices
- Relevant cloud certifications (AWS, Azure, Snowflake, IICS) are a plus
- Familiarity with Visualization Tools (PowerBI, Tableau a plus)
- Bachelor's Degree or equivalent in Computer Science, Engineering, or relevant field
- English, French
- Learn what it takes to make a service with a truly global reach
- Be part of an organization that values diversity, inclusion, and the richness of different backgrounds and experiences
- Engage in meaningful work that combines the challenges of pharma, manufacturing, environmental matters and technical fields, offering abundant opportunities for professional growth and impact
- 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
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