Data Engineering Specialist

at  Sanofi US

EXPERIENCE

• 6+ years of professional experience in data engineering, integration, data warehousing, business intelligence, business analytics, or comparable role with relevant technologies and tools (Snowflake, Databricks, Spark, Informatica/IICS or equivalent)
• You have worked cross-functional teams to solve complex data architecture and engineering problems, excellent written, verbal, and interpersonal skills with ability to communicate ideas, concepts and solutions to stakeholders at all levels, pragmatic and capable of solving complex issues, with technical intuition and capacity to propose innovative solutions

TECHNICAL SKILLS

• Experience in Big Data integration, including cloud-based platforms such as AWS, and Snowflake, proficiency in data structures and algorithms, expertise with core languages (bash, Python, SQL), experience with job scheduling and orchestration (Airflow is a plus), experience working with large data sets, and performance and query optimization

SOFT SKILLS

• Good presentation and communication skills with a strong attention to detail and listening capacity
• In a team spirit mode, with different multicultural actors, you have ability to work both independently and as part of a team
• You demonstrate capacity to learn new technologies in short amount of time to adapt to changes and answer challenges

EDUCATION

• Bachelor’s Degree or equivalent in Computer Science, Engineering, or relevant field

• Establish technical designs to meet Sanofi requirements aligned with the architectural and Data standards
• Mentor and train junior team members
• Develop and maintain all components of data engineering solutions and pipelines based on requirements and design specifications using appropriate tools and technologies
• Optimize solutions (ETL / data pipelines) to balance performance, functionality, cost, and other operational requirements
• Define and promote best practices and standards for code management, automated testing and deployment
• Work with business and products actors inside a team following Agile methodology to understand and decompose high level business requirements, and translate them into technical needs and implement them
• Leverage existing or create new standard data pipelines within Sanofi to bring value through business use cases
• Develop automated tests for CI/CD pipelines
• Coordinate and manage a team of internal / external resources to lead key data engineering initiatives & projects
• Create design and development documentation based on standards for knowledge transfer, training, and maintenance
• Contribute towards supporting the Data Objects as needed that are in Production