Data Engineer

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. Skills: Sql, Python Experience: 8.00-13.00 Years