Be part of a global healthcare biopharma company with a 130-year legacy focused on digital technology and data-backed approaches to improve global health
Job Summary
Be part of a global healthcare biopharma company with a 130-year legacy focused on digital technology and data-backed approaches to improve global health.
You will design and operate observability and optimization capabilities that enable faster issue detection, better performance, and continuous improvement across data pipelines and products.
Our technology teams collaborate internationally to deliver innovative solutions that help everyone be more productive and enable innovation.
Matching Summary
Be part of 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 ingestion and integration
Python and SQL programming
AWS cloud platform expertise
Data pipeline development
Data observability and monitoring
Report design and data visualization
Nice-to-have
Experience with Databricks platform
Knowledge of Kafka messaging system
Apache Airflow deployment and troubleshooting
Innovative and experimental mindset
Strong interpersonal and communication skills
Product and customer-centric approach
Key Requirements
Bachelor’s degree in IT, Computer Science or Technology
7+ years developing data pipelines and infrastructure
Experience in drug development or life sciences context preferred
Proven expertise in large-scale information management solutions
Cloud-native experience, ideally AWS certified
Strong software/data engineering practices
Experience with data ingestion and curation tools
Experience with large-scale data processing technologies