Join a global healthcare biopharma company with a 130-year legacy focused on digital technology and data-driven innovation to improve global health outcomes
Job Summary
Join a global healthcare biopharma company with a 130-year legacy focused on digital technology and data-driven innovation to improve global health outcomes.
You will design and operate observability capabilities that enable faster issue detection, better performance, and continuous improvement across data products and pipelines.
Work collaboratively in a global team environment to deliver scalable data engineering solutions and support business intelligence and governance processes.
Matching Summary
Join a global healthcare biopharma company with a 130-year legacy focused on digital technology and data-driven innovation to improve global health outcomes.
Skills & Requirements
Must-have
Data ingestion and integration
Python programming
SQL querying
AWS cloud platform
Data pipeline development
Data observability implementation
Production support for data platforms
Nice-to-have
Experience with Databricks platform
Knowledge of Kafka
Apache Airflow deployment and troubleshooting
Innovative and experimental mindset
Strong interpersonal and communication skills
Product and customer-centric approach
Key Requirements
Bachelors’ degree in IT or Computer Science
7+ years experience in data pipelines and infrastructure
Experience in drug development or life sciences context
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