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