Data Engineer

Key Responsibilities:

• Design and implement scalable, AWS-cloud-native data solutions including data lakes and warehouses using services like Glue and Redshift.
• Collaborate with business teams to translate requirements into effective data models and assemble complex data sets to meet functional needs.

Data Process Development:

• Build and maintain ETL processes to ingest and transform healthcare data, ensuring accuracy and reliability.
• Automate manual workflows to optimize data delivery and reduce operational friction across the platform.

Performance and Collaboration:

• Monitor and tune data pipelines for performance, cost, and reliability, implementing caching and partitioning strategies.
• Provide technical guidance and mentorship within the data engineering team, fostering a collaborative and innovative environment.

Data Security and Governance:

• Implement and enforce data security measures and access controls to protect sensitive healthcare information.
• Ensure compliance with industry regulations and best practices for data handling and governance.