Sort by
Refine Your Search
-
accessibility standards (WCAG). Experience with email testing tools (e.g., Litmus) and analytics platforms (e.g., Google Analytics or Microsoft Clarity). Preferred Qualifications Salesforce Marketing Cloud
-
Experience with data management and extraction tools, data lakes, data warehouses, and data modeling techniques Experience with API development and containerization technologies (e.g. Docker, Kubernetes
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
) algorithms, etc. and Google Map APIs - Familiarity with Jira or similar software for agile software development, team collaboration and project management - Proficiency in software version control and
-
tool at: https://ausme.auburn.edu/ Essential Functions Assist with the development of new AUSME system features using Python. Work with MySQL to query, update, and maintain AUSME datasets. Support server
-
data through XML files, RDBMS, REST APIs, and flat file sources Excellent programming skills such as Python, R, C/C++, Java, Shell and Perl Familiarity with cloud data platforms such as Snowflake Expert
-
. Understanding of and proficiency in a CMS environment is required. Anthology Encompass and Drupal CMS preferred. Understanding and experience working with API (REST/SOAP/JSON) to analyze and transfer data from
-
program systems with improved architecture and code quality. Develop secure, FISMA-moderate compliant web applications using ASP.NET/Core, REST APIs, SQL Server, JavaScript frameworks, XML/JSON, and cloud
-
services (AWS, Azure, or Google Cloud), including emerging cloud-native research tools. Knowledge of research-focused platforms such as collaborative computing environments, data processing frameworks
-
well as: be an accomplished Typescript/React Native developer, with an eye on both code quality and end-user usability. experienced in integrating with web services, APIs, and 3rd party libraries, and have a
-
Proficiency in building and deploying RESTful APIs and microservices for AI integration Strong understanding of cloud platforms (e.g., Google Cloud Platform, AWS, Azure), particularly Google Vertex AI