Description

Lead the development of infrastructure and data pipelines for healthcare real-world data products.

Responsibilities

• Develop and maintain infrastructure components including databases, data pipelines, and storage systems.
• Build data processing pipelines to ingest, clean, and integrate diverse healthcare datasets.
• Translate complex business rules and logic into scalable, optimal data process flows.
• Monitor system performance and identify optimization opportunities.
• Maintain documentation for infrastructure configurations, data workflows, and processes.

Required Skills

• 5+ years of Python programming experience, preferably focused on data.
• 5+ years of experience working with diverse data types.
• 4+ years of experience with SQL databases.
• Experience with big data tools such as Snowflake, Redshift, or BigQuery.
• Proficiency in AWS cloud services.
• Familiarity with machine learning techniques and tools.
• Knowledge of working within Scrum methodology.

Preferred Skills

• Bachelor’s or Master’s degree in Computer Science, Software Design, or a related field.

Key Skills

Education

Master’s or bachelor’s degree in computer science