Description

You will design and implement data and analytics architectures to ingest, store, and enrich healthcare and life sciences datasets. You will build scalable data pipelines and services, ensuring engineering designs prioritize scalability, security, and healthcare policy compliance.

Responsibilities

• Define data and analytics architecture and develop implementation plans.
• Build scalable data pipelines and services in collaboration with engineering leads.
• Design end-to-end data services covering infrastructure, ingestion, storage, and ETL.
• Develop vertical SaaS applications to support business impact.

Required Skills

• 5-10 years of experience in data engineering.
• Experience with Data Ingestion (both batch and streaming).
• Proficiency in ETL processes.
• Hands-on experience with Data Stores.
• Experience managing Data Catalogs.
• Ability to design for low-cost, high-performance infrastructure.
• Experience working within Agile methodologies.

Key Skills

Education

Any Graduate