Join a global healthcare biopharma company with a 130-year legacy focused on ethical integrity and innovation to improve global health
Job Summary
Join a global healthcare biopharma company with a 130-year legacy focused on ethical integrity and innovation 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 platforms.
Work collaboratively in a global, matrix organizational structure to deliver scalable data engineering solutions that support data-driven decision-making and business outcomes.
Matching Summary
Join a global healthcare biopharma company with a 130-year legacy focused on ethical integrity and innovation 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
Database and cloud system management
ETL processes and report design
Nice-to-have
Experience with Databricks platform
Kafka knowledge
Apache Airflow deployment and troubleshooting
Innovative and experimental mindset
Strong interpersonal and communication skills
Product and customer-centric approach
Agile software development practices
Key Requirements
Bachelor’s degree in IT or Computer Science
7+ years data pipeline and infrastructure development
Experience in drug development or life sciences context
Cloud-native expertise, ideally AWS certified
Proven software/data engineering practices
Experience with large-scale data processing technologies
Strong knowledge of data ingestion and curation tools