Description

You will design, develop, and maintain scalable data pipelines and processing workflows to support clinical care management initiatives.

Responsibilities

• Design, test, and maintain scalable data pipelines and processing workflows using GCP technologies.
• Create and maintain structured datasets in BigQuery to support business intelligence and analytics.
• Use SQL and Python for data transformation, analysis, and automation.
• Author, schedule, and monitor complex workflows using Airflow.
• Troubleshoot and resolve issues within data pipelines and platform configurations.

Required Skills

• 5+ years of data engineering experience.
• High-level proficiency in SQL and Python.
• Experience with GCP, including BigQuery, Airflow, and Dataflow or Apache Beam.
• Hands-on experience with GCP, Airflow, Python, GitHub, Kubernetes, and Docker.
• Ability to solve complex data challenges and communicate with technical and non-technical teams.
• Any Graduate degree.

Preferred Skills

• Experience in data architecture, modeling, mapping, testing, and optimization.
• Familiarity with API and service integrations across on-premise, cloud, and SaaS platforms.
• Knowledge of IAM frameworks, containerization, and various SDLC methodologies.
• Background in pharmacy benefit management (PBM) or healthcare domains.

Key Skills

Education

Any Gradute