Data Engineer

Job Description: The incumbent is responsible for the definition, development, and implementation of new systems, and major enhancements to existing systems, as well as production support for systems with high complexity. The incumbent is capable of providing project leadership for major feasibility or business systems analysis studies.
Cloud: (required)
Experience with cloud computing platforms, such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
Familiarity with cloud computing concepts, such as virtual machines, storage, and networking
Experience with cloud-based Data Engineering tools and services
GCP: (required)
Experience with Google Cloud Platform (GCP)
Familiarity with GCP services, such as Google Cloud Storage, Cloud Functions, Pub/Sub, Cloud Scheduler, Cloud Run, BigQuery, and Cloud SQL
Experience with GCP APIs and SDKs
Other required skills: (required)
Bachelor's Degree or additional years of experience
Experience with Data Engineering tools and technologies, such as Apache Spark, Hadoop, and Hive
Familiarity with data modeling and database design
Strong problem-solving and analytical skills
Excellent communication and teamwork skills
Python scripting: (preferred)
Experience writing Python scripts for Data Engineering tasks
Familiarity with Python libraries for data manipulation and analysis, such as NumPy, Pandas, and SciPy
Experience with Python frameworks for web development, such as Django or Flask
Other preferred skills: (preferred)
r/r-shiny for front end development preferred
Healthcare or insurance background preferred
Top 3 required skills (per spotlight call):
Knowledge of the GCP environment
pipeline development
Database modeling

Additional Skills that will be prioritize for interview are: Google Cloud Platform, Cloud architecture, and development R-shiny skills.