Join our team as a Lead Data/Cloud Engineer and play a crucial role in our healthcare and payer interoperability domain. With over 12 years of experience, you will lead the way in developing and maintaining our data and cloud infrastructure to ensure seamless operations.
Responsibilities:
- Utilize StreamSets, Azure Data Factory & Databricks for data processing and workflow management
- Implement Kafka and event streaming for real-time data processing
- Manage PostgreSQL, Snowflake, and MongoDB databases efficiently
- Develop APIs using .NET and Python for data integration
- Utilize Apigee and DataPower API Gateway for secure API management
- Work with FHIR, HL7, ADT, CDEX, and UDAP standards for healthcare data exchange
- Implement Firely and Azure FHIR for healthcare data interoperability
- Manage Google Cloud Platform, Azure, and On-Prem environments for hybrid cloud infrastructure
- Utilize Kubernetes and Docker for containerization and orchestration
- Leverage your healthcare payer experience to optimize data processes
Requirements:: Required Skills:
- Experience with StreamSets, Azure Data Factory, and Databricks
- Proficiency in Kafka and event streaming technologies
- Strong knowledge of PostgreSQL, Snowflake, and MongoDB databases
- Expertise in .NET and Python API development
- Experience with Apigee and DataPower API Gateway
- Familiarity with FHIR, HL7, ADT, CDEX, and UDAP standards
- Knowledge of Firely and Azure FHIR for healthcare data exchange
- Experience working with Google Cloud Platform, Azure, and On-Prem environments
- Proficiency in Kubernetes and Docker for containerization
- Prior experience in healthcare payer domain