JOBSEARCHER

Interop- Data Engineer

Sr Interop- Data Engineer
Location: Remote
Experience Required: 9+ Years
Education: Engineering Degree (BE/ME/BTech/MTech/BSc/MSc)
Technical certification in multiple technologies is desirable.
What's in it for you? As a Sr Interop- Data Engineer, you'll join an Agile team focused on building healthcare applications and implementing new features. You'll play a key role in developing interoperable solutions, ensuring high performance and scalability while adhering to industry best practices.
Key Responsibilities:
  • Design, develop, and maintain APIs with a focus on .NET to ensure high performance and scalability.
  • Implement and manage interoperability standards such as HL7 V2/V3, ADT, FHIR, and CCDA.Utilize Firely and Azure FHIR services for effective data integration and interoperability.
  • Collaborate with cross-functional teams to gather requirements and deliver business and technical solutions.
  • Ensure data quality, integrity, and security across all interoperability processes.
  • Provide technical leadership and mentorship to junior engineers.
  • Stay updated with industry trends and leverage new technologies to enhance interoperability practices.
  • Mandatory SkillsStrong knowledge of HL7 V2/V3, ADT, FHIR, and CCDA standards.
  • Experience with integration engines like Mirth Connect.
  • Proficiency in developing and managing APIs (Python, minimal Node/React.js).Experience with Firely and Azure FHIR services.
  • Good To Have
  • Expertise in .NET development.
  • Experience with API gateways such as Apigee Hybrid and DataPower.
  • Knowledge of GitHub in Azure Cloud and Azure Repos in GCP.Experience building and managing pipelines using StreamSets Scheduler, CA Automatic Dollar Universe 6, Cron Jobs, and Databricks Scheduler.
  • Familiarity with container orchestration using Kubernetes (k8s).Proficiency in ETL functions using StreamSets or similar tools (e.g., Databricks).Hands-on experience with databases such as MongoDB, Snowflake, and PostgreSQL.Experience with event streaming tools like Confluent Kafka