SAS Platform Engineer (SAS DI Studio) @ Link Group Remote

SAS Platform Engineer (SAS DI Studio) @ Link Group

Remote

• Experience with SAS DI Studio, SAS Management Console, and SAS Viya (Studio, CAS, Visual Analytics)
• Ability to design and maintain ETL processes
• Practical knowledge of administering and configuring SAS environments
• Hands-on experience with CI/CD (GitLab CI/CD), including automation and version control
• Knowledge of Docker and Kubernetes for containerization and orchestration
• Strong collaboration skills with data teams, ensuring high availability and performance of analytical environments

SAS Platform Engineer

As a SAS Platform Engineer, the candidate has been responsible for the development, configuration, and maintenance of SAS environments across different platforms, including SAS DI Studio, SAS Management Console, and SAS Viya. Their role includes managing data integration pipelines, monitoring resources using SAS Visual Analytics, and optimizing the compute layer in SAS Viya using CAS (Cloud Analytic Services).

The engineer actively participates in CI/CD pipeline development and deployment processes using GitLab CI/CD, contributing to automation, version control, and environment provisioning. Experience with Docker and Kubernetes allows for efficient containerization and orchestration of SAS services in cloud-native or hybrid environments.

,[Designing and maintaining ETL processes in SAS DI Studio, Administering and configuring SAS environments via SAS Management Console, Working with SAS Viya (Studio, CAS, Visual Analytics) to enable modern, scalable data analytics, Building CI/CD pipelines for SAS workloads using GitLab CI/CD, Containerizing components with Docker and orchestrating with Kubernetes, Collaborating with data teams to ensure high availability and performance of analytical environments] Requirements: SAS DI Studio, SAS Mangement Console, SAS Viya, Studio, CAS, Visual Analytics, ETL processes, Configuring SAS environments, CI/CD, GitLab CI/CD, Docker, Kubernetes

Kategorie

data

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