Nashville, TN30+ days ago
p>• Technology Experience: 5 years of experience in most of the following • Experience with cloud development technologies, especially Google Cloud Platform • Strong proficiency in multiple programming languages, especially Python and SQL required • Data engineering experience, including architecture for ingesting, transforming, and feature engineering data elements used for data science and machine learning • Deep understanding of streaming and event-driven architectures • Strong understanding of best practices in the design of REST-based APIs • Nuanced understanding of distributed version control • Experience in data acquisition, data cleansing, and parsing required • Detailed understanding of DevOps practices and extensive experience with associated tools • Extensive experience and deep understanding of container-based platforms, such as Docker, Kubernetes, OpenShift, and Cloud Run • Understanding of data science concepts • SQL experience, database interrogation techniques • Linux command line skills • Scrum Agile Lean Product Development Domain Driven Design • Excellent communication skills, both written and verbal • Experience and deep knowledge of Service-Oriented Architecture (SOA) • Healthcare experience preferable. • Continues to refine development and analytical skills • Applies a consistent development approach to provide creative solutions to problems • Leads the design, construction, and implementation of software and analytics solutions in the data science engineering environment • Expands the organizational technical knowledge by providing mentoring to internal team and attending professional development opportunities.