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The NetSuite Developer will work primarily with the NetSuite platform, performing web application development using JavaScript, SuiteCommerce Advanced, and frameworks such as Backbone.js and Bootstrap. The role involves user engagement to gather requirements and translate those into development tasks, requiring strong technical skills and experience in the latest NetSuite version.
The Technology Lead - DevOps will design and implement CI/CD processes, manage tools migration, develop automation utilities, perform AS-IS analysis of SDLC processes, and lead projects in a global delivery environment. Thorough experience with various DevOps tools and excellent troubleshooting and communication skills are essential.
The job requires a .NET developer with expertise in SignalR to ensure efficient real-time communication in applications. Responsibilities include developing and maintaining .NET applications with a strong focus on using SignalR.
The job involves developing applications using .NET and SignalR, requiring solid experience in these technologies. The position is a contract role with a potential for extension.
The job involves working as a .NET Developer specializing in SignalR for a 9-month contract role. Responsibilities include developing and maintaining applications with real-time capabilities for improved user experience.
The HCM Functional Lead will collaborate with internal and external stakeholders to design, develop, implement, and support business solutions using PeopleSoft and other Oracle tools. Responsibilities include effective communication with SMEs and preparing functional information for diverse audiences.
The Automation Architect role involves leading automation architecture in an enterprise setting, focusing on processes rather than people management. The position requires expertise in C# and .NET, alongside experience with Selenium and MongoDB. Excellent communication skills and familiarity with large enterprise environments are essential.
The Data Scientist will be responsible for designing experiments, monitoring key metrics, analyzing dashboards, building data sets, and making proposals for future projects. The role involves exploratory data analysis, user behavior modeling, and maintaining data infrastructure using Spark and SQL for analyses and pipelines.