ability to manage competing demands. In-depth knowledge and understanding of business needs, with the software development lifecycle models and expert knowledge of both Agile and traditional project management business/technical background, with sufficient technical knowledge to provide credible leadership to development
all facets of data engineering. Skills: Expert knowledge in Azure data services including Azure Data Factory large-scale data processing with Apache Spark. Knowledge of GCP and AWS is desirable but not essential
all facets of data engineering. Skills: Expert knowledge in Azure data services including Azure Data Factory large-scale data processing with Apache Spark. Knowledge of GCP and AWS is desirable but not essential
experience with the .NET framework. Extensive knowledge of Azure services and cloud-based development orchestration technologies (Docker, Kubernetes). Knowledge of DevOps practices and tools (CI/CD, Git, Jenkins
experience with the .NET framework. Extensive knowledge of Azure services and cloud-based development orchestration technologies (Docker, Kubernetes). Knowledge of DevOps practices and tools (CI/CD, Git, Jenkins
Office skills (Visio, Excel, and Word). Working knowledge on SCRUM (advantageous). If you are interested
Excellent communication and collaboration skills. Knowledge of the pharmaceutical supply chain will be advantageous