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Data Engineer (Google Cloud Platform & FHIR)

Salary undisclosed

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Dice
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Title: Data Engineer (Google Cloud Platform & FHIR)

Location : Remote

Duration : Long Term

Responsibilities: -

  • We are seeking a highly skilled and experienced Lead Data\Cloud Engineer to join our healthcare interoperability platform team. The ideal candidate will possess a strong background in data engineering, cloud infrastructure (primarily Google Cloud Platform and Azure), ETL processes, and API development. This role requires expertise in managing and optimizing data pipelines and working seamlessly across multiple cloud and on-premises infrastructures.
  • The Lead Data\Cloud Engineer will play a pivotal role in designing and implementing a robust, scalable, and secure data infrastructure to support interoperability solutions in the healthcare domain, interacting with numerous internal and external applications, ensuring compliance Healthcare standards such as CDEX, UDAP and integrating applications using relevant healthcare protocols such as FHIR, CCDA, HL7 etc.
  • Design, build, and maintain scalable data pipelines using StreamSets, Azure Data Factory, and possibly related services on Google Cloud Platform.
  • Work seamlessly across a multi-cloud environment, with 50% of infrastructure on Google Cloud Platform, 25% on Azure, and 25% on-premises.
  • Manage and optimize API development within the .NET environment, and to a lesser extent, Python.
  • Develop and maintain event streaming services using Kafka and StreamSets.
  • Administer and work with databases including Snowflake, MongoDB, and FHIR servers (Firely and Azure FHIR).
  • Ensure compliance with healthcare data standards such as UDAP, CDEX, FHIR, HL7, and ADT.
  • Collaborate with cross-functional teams to gather requirements and deliver tailored data solutions that meet business and healthcare regulatory needs.
  • Implement API Gateways using tools like Apigee and Datapower.
  • Provide technical leadership and mentorship to junior data engineers.
  • Monitor, troubleshoot, and optimize the performance and scalability of data solutions.
  • Stay updated with the latest trends and technologies in healthcare interoperability and cloud services.

Experience: -

Mandatory skills:

  • Expertise in working with multiple cloud infrastructures, including 50% on Google Cloud Platform, 25% on Azure, and 25% on-premises setups.
  • Strong understanding of container orchestration K8s, Docker
  • Proven experience with StreamSets, Azure Data Factory, and related ETL tools including Databricks
  • Proficiency in managing API development primarily using .NET and familiarity with Python.
  • API Gateway management (e.g., Apigee, Datapower).
  • Hands-on experience with streaming technologies like Kafka and StreamSets.
  • Expertise in databases such as Snowflake, MongoDB, and FHIR servers (Firely, Azure FHIR).
  • Understanding of Firely and Azure FHIR services.

Educational Qualifications:

  • Engineering Degree BE/ME/BTech/MTech/BSc/MSc.
  • Technical certification in multiple technologies is desirable.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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