Site Name: Upper Providence, Durham Blackwell Street, GSK HQ, Philadelphia Walnut Street, Upper Merion
Posted Date: Oct 4 2024
GSK is one of the world’s foremost pharmaceutical and healthcare companies, proud to be part of an industry that improves the lives of millions. We are embarking on a significant transformation to support GSK in becoming a top-quartile data-enabled organization.
This is an exciting time to join GSK. We are embracing cutting-edge data technologies to enhance the development, manufacture, and distribution of our vital products to patients and consumers worldwide. You will be part of a dynamic team building a robust data and analytics ecosystem, positioning data at the core of GSK’s strategic and operational decisions.
Key Accountabilities:
Technology:
- Expertise developing knowledge graph solutions using databases and platforms like Neo4J, Anzo, and Stardog.
- Expertise developing robust event-driven streaming architectures using Confluent Kafka, Azure Event Hubs, and Azure IoT Edge.
- Lead hands-on development and integration of streaming solutions using Databricks for real-time analytics and data processing.
- Integrate structured data sources from enterprise transactional systems and trusted third parties, along with unstructured data sources, including IIoT data from manufacturing sites.
Leadership:
- Engage with global teams from various disciplines to ensure architectural designs meet company objectives and encourage teamwork.
- Provide technical leadership and mentorship to junior architects and team members.
- Drive innovation and ensure the adoption of industry best practices in streaming and graph technologies.
Why You?
Basic Qualifications:
- BS or MS in Engineering or Sciences, or equivalent experience.
- 8+ years of experience developing data and analytics solutions.
- 6+ years of experience in a programming language: Python, Java, or Scala.
- 4+ years of experience developing solutions on Kafka, Azure IoT, and Databricks.
- 4+ years of experience developing solutions on Anzo, Neo4J, and Stardog.
- 4+ years’ experience developing and deploying cloud native solutions on Azure, AWS or GCP.
Preferred Qualifications:
- Professional Architect/Administrator level certifications from Azure, AWS or GCP.
- Demonstrated expertise developing Knowledge Graph solutions.
- Hands on expertise on Linux, Kubernetes and Azure Administration.
- Factory data integration experience, with knowledge of industrial automation protocols and security best practices.
- Familiarity with industrial automation and IoT, including SCADA systems, MES systems, historians, and connectivity of such systems with cloud environments.
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