Owkin

Data Engineer

• Organize and structure data systems at both macro and micro levels, designing and implementing data architectures that support business goals
• Optimize data pipelines for performance, reliability, and scalability
• Design, build, and maintain scalable ETL/ELT pipelines with Airflow to process large-scale, complex datasets
• Demonstrate ability to delivery of data products useful for machine learning and AI research and development (data models, metadata and semantics)
• Strong organizational skills to effectively manage high-volume, complex workstreams while prioritizing multiple deadlines
• Demonstrate knowledge of scientific and healthcare information systems and data sources and relevant software tools
• Demonstrate ability to handle a variety of activities across operational delivery and development and initiatives
• Demonstrate professional interpersonal skills with ability to work both independently and collaboratively with a variety of stakeholders on complex biotechnology areas.
• Streamline the process of taking scientific processing and quality check in production, ensuring proper monitoring of the production workflows.