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