Evolving our infrastructure, patterns and tooling with a specific focus on high throughput, reliable and idempotent pipelines
Ensuring the business receives, processes, transmits high quality data which will underpin all data science and reporting needs
Design and own the data models for the product application as well as analytical models
Design and own the build and maintenance of efficient and scalable data models to meet business requirements (product application & analytical)
Work closely with cross-functional teams to understand data needs and drive alignment with business objectives
Architect and build robust and scalable data systems to support the organization’s growth
Evaluate and recommend appropriate technologies for different components of the data infrastructure
Establish and enforce data engineering standards, coding conventions, and best practices
Play a key role in establishing a data governance framework and committee to enable and empower the organization in leveraging data assets; in adherence with industry regulations
Develop and maintain data pipelines built on top of variations of python & SQL
Create clear and comprehensive documentation, including data models, architecture diagrams, and data workflows
Mentor members of the data engineering team and provide guidance on best practices
Skills Required
Machine Learning
Python
Find more jobs at Nomi Health
Healthcare needs a rebuild, not just a renovation. That’s why we are creating a new system that connects providers directly with employers and patients to cut costs and wasted time.
