Main responsibilities:

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
About you
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  
2+ years of experience in data engineering, integration, data warehousing, business intelligence, business analytics, or comparable role with relevant technologies (ETL/ELT) and tools (Informatica/IICS, AWS a plus) 
Understanding of data structures and algorithms 
Working knowledge of scripting languages (SQL, Python, Shell scripting) 
Experience in cloud-based data platforms (Snowflake is a plus)
Experience with job scheduling and orchestration (Control-M, Airflow is a plus)
Good knowledge of SQL and relational databases technologies/concepts