Senior Data Engineer to design and implement data storage for Electronic Health Records (FHIR)

Our valued Public Sector client requires a Senior Data Engineer to design and implement data storage for Electronic Health Records (FHIR)

The successful resource will be responsible for designing and implementing

Data Storage, Data Processing, and Data Security, as well as monitoring and optimizing data storage and data processing in an Azure environment.

Tasks:

• Develop, construct, test and maintain architectures
• Align architecture with business requirements
• Data acquisition
• Develop data set processes
• Use programming language and tools
• Identify ways to improve data reliability, efficiency and quality
• Conduct research for industry and business questions
• Use large data sets to address business issues
• Deploy sophisticated analytics programs, machine learning and statistical methods
• Prepare data for predictive and prescriptive modeling
• Find hidden patterns using data
• Use data to discover tasks that can be automated
• Deliver updates to stakeholders based on analytics

Must-have:

• Experience with health information industry standards such as FHIR, CDA or HL7

Knowledge and experience with the following would be considered a strong asset:

• Continuous Integration/Continuous Deployment (CI/CD)
• DevOps
• Azure Monitor
• Azure Data Lake Storage Gen2
• Azure Synapse
• Azure Databricks
• Azure DevOps
• Azure Data Factory
• Stream Analytics, Azure Event Hubs
• Apache Spark