Emergency Medical Services • Billing and Reimbursement • Revenue Cycle Management • Air Medical Billing • Ground EMS Billing
6 days ago
Airflow
Amazon Redshift
Apache
AWS
Cloud
Docker
ETL
Informatica
JavaScript
Jenkins
Kubernetes
Python
SDLC
Spark
SQL
Terraform
Unity
Go
Emergency Medical Services • Billing and Reimbursement • Revenue Cycle Management • Air Medical Billing • Ground EMS Billing
• Architect and optimize data systems • Lead design and development of data pipelines • Support AWS Redshift and Databricks Lakehouse • Implement machine learning solutions • Ensure data security and compliance • Collaborate with cross-functional teams • Maintain documentation and promote best practices • Lead and mentor junior team members
• 5+ years of experience in data engineering • Experience with AWS Redshift • 1+ years of experience with Databricks Lakehouse • Proficient in Python and SQL • Experience with ETL tools and frameworks • Strong background in data modeling • Experience with SCD techniques • Expertise in machine learning integration • Familiarity with DevOps practices and tools • Experience with containerization tools • Basic understanding of cloud infrastructure management • Experience in Agile development environment
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