Description

You will build and manage data pipelines within a healthcare context.

Responsibilities

• Develop and maintain data pipelines using SQL, Python, and Spark.
• Orchestrate data workflows using Airflow, ADF, or Databricks.
• Implement API development solutions using Python.
• Integrate AI and ML capabilities including Gen AI, Prompt Engineering, RAG, and MLOps.
• Manage data across GCP, Azure, AWS, and Snowflake environments.

Required Skills

• 5+ years of experience in Data Engineering.
• Mandatory experience working in the healthcare industry.
• Proficiency in SQL and Python.
• Hands-on experience with Spark.
• Experience with cloud platforms: GCP, Azure, and AWS.
• Working knowledge of Snowflake.
• Experience with orchestration tools: Airflow, ADF, or Databricks.
• Experience with API development using Python.
• Practical knowledge of Gen AI, Prompt Engineering, RAG, and MLOps.
• Any Graduate degree.

Key Skills

Education

Any Graduate