Lead Data Cloud Engineer

Responsibilities: -

• Design, build, and maintain scalable data pipelines using StreamSets, Azure Data Factory, and other related services on Azure and GCP.
• 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.
• Work seamlessly across a multi-cloud environment, with 50% of infrastructure on GCP, 25% on Azure, and 25% on-premises.
• 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: -

8+ Years

Location: -

Remote

Educational Qualifications: -

• Engineering Degree BE/ME/BTech/MTech/BSc/MSc.

Technical certification in multiple technologies is desirable.

Skills: -

Mandatory skills

Strong experience in Healthcare Payer Proven Management experience Strong experience in Postgres

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.

Working knowledge of healthcare data standards such as FHIR, HL7, and ADT.

Expertise in databases such as Snowflake, MongoDB, and FHIR servers (Firely, Azure FHIR).

Expertise in working with multiple cloud infrastructures, including 50% on GCP, 25% on Azure, and 25% on-premises setups.

Understanding of Firely and Azure FHIR services.

Strong understanding of container orchestration K8s, Docker

Good to have skills: -

• Familiarity with healthcare payor systems and regulatory standards such as HIPAA etc.
• Knowledge of Programming languages such Dot Net, Python and standards such as, HL7 V2/V3, ADT, FHIR, and CCDA.
• Experience with other cloud services related to GCP and Azure ecosystems.
• Excellent communication and collaboration abilities, especially in a multi-functional, multi-cloud environment.