Description

Build and manage scalable data systems and pipelines within an AWS cloud environment.

Responsibilities

• Design, develop, and maintain scalable data pipelines and systems for clinical and operational use cases.
• Build efficient, real-time data pipelines using Airflow, Kafka, and event-driven architecture.
• Develop and maintain ETL processes and data warehouse structures while ensuring data quality and integrity.
• Implement data security, privacy, and compliance measures across all data systems.
• Collaborate with AI scientists and data analysts to integrate predictive models into the analytics platform.

Required Skills

• 5+ years of experience in software or data engineering.
• Proven experience designing and developing data pipelines in AWS cloud environments.
• Strong proficiency in Python and related frameworks.
• Expertise in Airflow, Kafka, and event-driven architecture.
• Familiarity with SQL, NoSQL, and data warehousing concepts.
• Experience implementing data security, privacy, and compliance measures.
• Bachelor's degree in Computer Science, Information Technology, or a related field.

Preferred Skills

• Knowledge of healthcare or pharmaceutical industry data standards and regulations.

Key Skills

Education

Any Graduate