Interop- Data Engineer

Sr Interop- Data EngineerLocation: RemoteExperience Required: 9+ YearsEducation: 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 ResponsibilitiesDesign, 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 HaveExpertise 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