Remote SAS AML Administrator (Clifton)

  • Clifton, NJ

Employment Type

: Full-Time


: Miscellaneous

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SAS AML Administrator - Long Term Project - Remote Job Requirements
  • Minimum 3 Years of experience administering SAS AML environments
  • SAS Certified Platform Administrator for SAS 9 certification
  • Experience with SAS Environment Manager
  • Experience with SAS Management Console
  • Experience Configuring and Administering SAS Visual Analytics
  • Experience Configuring and Administering SAS Data Flux
  • Shell Scripting in Linux/Unix
  • Job Description
  • Checking the status and operations of SAS servers, including starting, stopping, and/or pausing the servers used in the SAS system
  • Managing metadata repositories
  • Performing and scheduling regular backups of the Metadata Server and physical files
  • Monitoring, logging, and/or troubleshooting SAS servers, including using system logs or setting logging options as well as options within Environment Manager / SAS Management Console (SMC)
  • Audit, Performance, and Measurement configuration and reporting
  • Troubleshooting basic SAS server issues, such as system access and password problems
  • Understanding SAS installation directory structures, where to find things related to servers, configurations, content, etc.
  • Administering the scheduling of jobs and reports
  • Assisting project teams in SAS AML deployment and testing
  • Using Environment Manager and SMC to administer metadata
  • About
  • Performing basic system administration tasks such as monitoring CPU / RAM / Disk space utilization, port utilization and running processes on applicable OS
  • Troubleshooting performance problems in a logical, scientific manner
  • Services
  • Understanding SAS AML Solution
  • Understanding the concept of SAS repositories, what they are, why they are used and how to create/maintain them
  • Industries
  • Understanding how SAS interacts with third party software such as databases, web application servers, etc.
  • Monitoring and logging SAS servers and spawners, and then optimizing memory usage or tuning servers for optimal performance

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