Patient Collect & Global Insights, Data Engineering Manager

at  Sanofi US

KEY FUNCTIONAL REQUIREMENTS & QUALIFICATIONS:

• Strong technical analysis and problem-solving skills related to data, analytics, and technology solutions
• Service-oriented, flexible, and approachable team player
• Strong leadership and communication skills with the ability to communicate ideas, concepts, and solutions to peers and effectively lead and manage a team
• Adherence to architectural principles, design patterns, and coding standards
• Ability to drive the implementation of DevOps practices and automation to streamline the development and deployment processes
• Experience working in Agile environments with a deep understanding of Agile/Scrum methodologies and product owner skills

KEY TECHNICAL REQUIREMENTS & QUALIFICATIONS:

• 10+ years of experience in data engineering, data integration, data warehousing, business intelligence, business analytics, or comparable role with relevant technologies (ETL/ELT) and tools (Informatica/IICS, AWS, Snowflake and PowerBI a plus)
• Proven experience of 2+ years in a data engineering lead/manager role with expertise in data engineering, relational databases, data modeling, advanced analytics, and cloud technologies.
• Demonstrated experience in leading technical projects, from planning to successful implementation
• Strong proficiency in Snowflake, AWS (particularly S3, Redshift, and EC2), and other cloud-based data technologies
• Hands-on experience with ETL tools such as Informatica, IICS, and scripting languages like Python for data manipulation and transformation
• Familiarity with BI and analytics tools, especially PowerBI, Dataiku, Tableau for data visualization and advanced analytics
• Experience designing and implementing real-time data streaming solutions using tools like Kafka for efficient data processing
• Experience managing job scheduling and orchestration using Control-M to ensure timely execution of data workflows
• Understanding of data structures and algorithms
• Working knowledge of scripting languages (SQL, Python, Java Script, Shell scripting), databases technologies/concepts

• Lead and manage a team of data engineers and visualization engineers, provide guidance, mentoring, and support to ensure successful product delivery
• Design and implement scalable and efficient data pipelines for ingesting, processing, and analysing large volumes of structured and unstructured data
• Develop and maintain data models, schemas, and metadata to support analytics and reporting needs
• Utilize cloud technologies, particularly Snowflake, AWS and Azure, to build and manage data infrastructure in a scalable and cost-effective manner
• Oversee the implementation and maintenance of ETL processes using tools such as Informatica, IICS, and custom Python scripts
• Drive the adoption and utilization of BI and analytics tools such as PowerBI, Dataiku for data visualization and reporting
• Act as a relay product owner for data engineering and visual analytics initiatives, defining and prioritizing requirements, and collaborating with stakeholders to ensure alignment with business goals