Senior Data Engineer

Strategy Creation: Collaborate with cross-functional teams to define the data engineering strategy aligned to business objectives, including data modeling that unifies data assets across a range of source systems used to manage the operations of our partnering hospitals. Pipeline Development: Define and execute processes needed to develop, test, deploy, and maintain high quality data pipelines. Oversee the end-to-end development of data pipelines from source data extraction through to production-grade analytical dataset delivery, ensuring data quality and security throughout the pipeline. Performance Optimization: Continuously monitor and optimize data processing performance and efficiency. Identify and address bottlenecks, optimize query performance, and improve overall system stability. Data Governance: Establish and enforce data quality management policies, data access controls, and data privacy standards. Technical Leadership: Stay abreast of the latest developments in engineering tools and best practices. Provide guidance to the team about technical challenges. Documentation: Maintain clear and comprehensive documentation of data pipelines, architecture, and processes to ensure knowledge sharing and team continuity. Third-party Management: Evaluate and manage relationships with third-party vendors and tools, making informed decisions about when to leverage external solutions.