Join a global healthcare biopharma company with a 130-year legacy focused on digital technology and data-backed approaches to improve global health
Job Summary
Join a global healthcare biopharma company with a 130-year legacy focused on digital technology and data-backed approaches to improve global health.
You will play a critical role in ensuring data accuracy, scalability, and maintainability by building and evolving production data pipelines using SQL and Python.
The role emphasizes engineering craftsmanship, clear communication, and ownership of critical data transformations within a disciplined and straightforward technical environment.
Matching Summary
Join a global healthcare biopharma company with a 130-year legacy focused on digital technology and data-backed approaches to improve global health.
Skills & Requirements
Must-have
Data Engineering with SQL and Python
AWS cloud data platforms
Infrastructure as Code (Terraform)
CI/CD pipeline deployment
Data pipeline management
Git version control
Nice-to-have
DevOps collaboration
Data quality and compliance focus
Experience with Databricks and Spark
Strong communication skills
Regulated enterprise environment experience
Key Requirements
7+ years data pipeline development experience
Bachelor’s degree in IT, Computer Science or Technology
Experience in regulated or enterprise environments
Hands-on with cloud data platforms (AWS or Azure)
Proven production data pipeline building
Experience with Git workflows and automated deployments