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Sanofi

Data Engineer

8-13 Years
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Job Description

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 Specifically,

  • 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
  • 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
  • Conduct peer reviews for quality, consistency, and rigor for production level solution
  • Actively contribute to Data Engineering community and define leading practices and frameworks
  • Remains up to date on the company s standards, industry practices and emerging technologies.

Main responsibilities:

  • 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
  • Experience in data engineering, integration, data warehousing, business intelligence, business analytics, or comparable role with relevant technologies and tools (DBT is 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 Source Code Management Tools (GitHub is a plus)

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 AWS Lambda, Terraform

When joining our team, you will experience:

  • An international work environment, in which you can develop your talent and realize ideas and innovations within a competent team
  • An attractive, market-oriented salary and cafeteria benefits
  • Collective life and accident insurance
  • Exposure to training and certification pathways for technical and functional skills from AWS, Snowflake and others
  • An individual and well-structured introduction and training of new employees and we will dedicate a Buddy for you to better navigate in your first weeks
  • Your own career path within Sanofi. Your professional and personal development will be supported purposefully
  • Join a great community special events (Monthly Board Game Nights, Summer Events, Well-Being Lectures Sport Clubs)

Why choose us

  • 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.
  • Opportunity to work in an international environment, collaborating with diverse business teams and vendors, working in a dynamic team, and fully empowered to propose and implement innovative ideas.

More Info

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About Company

Job ID: 107406965

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