Patient Collect & Global Insights, Data Engineer

at  Sanofi US

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
• 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

KEY TECHNICAL REQUIREMENTS & QUALIFICATIONS:

• Bachelor’s Degree or equivalent in Computer Science, Engineering, or relevant field
• 7+ 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, Snowflake a plus)
• Strong proficiency in Snowflake for data warehousing and analytics
• Hands-on experience with Informatica Intelligent Cloud Services (IICS) for data integration and ETL
• Understanding of data structures and algorithms
• Working knowledge of scripting languages (SQL, Python, Shell scripting)
• Solid understanding of cloud computing concepts and experience with cloud platforms such as AWS, Azure, or Google Cloud Platform
• Experience with job scheduling and orchestration (Control-M, Airflow is a plus)
• Familiarity with Splunk/Kafka for real-time data processing and streaming
• Good knowledge of SQL, NoSQL, and relational databases technologies/concepts
• Familiarity with data governance and security best practices

• Design, implement, and maintain data pipelines and infrastructure to support our Digital Insights & Analytics team data needs
• Design, develop, and maintain scalable and efficient data pipelines to process, transform, and store large volumes of structured and unstructured data
• Develop and maintain data models, schemas, and metadata to support analytics and reporting needs
• Propose and establish technical designs to meet business and technical requirements
• Work with DevOps teams to deploy and manage data infrastructure in cloud environments such as AWS, Azure, Snowflake and IICS Cloud Platform
• Configure and optimize data ingestion workflows, ensuring data quality, reliability, and 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
• Collaborate with stakeholders to understand business requirements and translate them into technical specifications for data solutions