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
• 3+ 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

• 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
• Remain up to date on the company’s standards, industry practices and emerging technologies