Site Name: Upper Providence, Durham Blackwell Street, GSK HQ, Philadelphia Walnut Street, Upper Merion
Posted Date: Aug 9 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.#LI-GSK
#GSKTech1
#J-18808-Ljbffr
