Lead Data/Cloud Engineer
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