Description

You will build and maintain data pipelines and architecture within healthcare data environments.

Responsibilities

• Develop and optimize ETL processes using Python and PySpark.
• Design and implement data lake architectures and AWS Glue workflows.
• Manage healthcare data integration using HL7/FHIR standards and APIs.
• Maintain data security protocols for healthcare eligibility and claims data.
• Automate infrastructure and deployments using Terraform and CI/CD processes.

Required Skills

• 3+ years of experience in data engineering.
• Mastery of Python, PySpark, and SQL.
• Experience with AWS products, specifically AWS Glue.
• Knowledge of data lakes and ETL scheduling solutions.
• Hands-on experience with HL7/FHIR standards and healthcare data security.
• Practical use of GIT and CI/CD processes.
• Experience with Infrastructure as Code using Terraform or Cloudformation.
• Background in implementing APIs for data movement.
• Any Graduate degree.

Preferred Skills

• Experience working across both on-prem and cloud environments.
• Familiarity with Business Intelligence and Analysis tools.

Key Skills

Education

Any Graduate