Description

You will build and maintain data pipelines in a cloud environment, integrating AI/ML capabilities and handling healthcare-specific data formats.

This role is on-site.

Responsibilities

• Develop and optimize data workflows using Python and SQL.
• Manage data streaming and orchestration with Kafka and Kubernetes.
• Implement data solutions within Snowflake and Azure Cloud.
• Integrate AI/ML capabilities, specifically Large Language Models (LLM).
• Handle healthcare-specific data formats including HL7V2, HL7V3, and FHIR.

Required Skills

• 5+ years of experience in data engineering roles.
• Proficiency in SQL and Python.
• Hands-on experience with Snowflake and Databricks.
• Experience with Kafka and Kubernetes.
• Experience working in Azure Cloud.
• Knowledge of AI/ML and LLM implementation.
• Technical familiarity with HL7V2, HL7V3, and FHIR standards.
• Working knowledge of Java.

Preferred Skills

• Background working with healthcare or clinical data.

Key Skills

Education

Any Graduate