SAS Administrator / SAS Support at Collabera in Irvine, CA

Company Description

We provide cost-effective, high quality IT resources to meet talent needs through Staff Augmentation, Global Talent Management, Value Added Services through CLASS (Competency Leveraged Advanced Staffing & Solutions) Permanent Placement Services and Vendor Management Programs.

Collabera has been a leader in IT staffing for over 24 years and is one of the largest diversity IT staffing firms in the industry. We are known for our high-touch, customer-centric approach, offering our clients unmatched quality, responsiveness and flexibility. We are appreciated by our clients for our streamlined execution, highly efficient service and exceptional talent management that go above and beyond traditional staffing services. Collabera has been named the Best Staffing Firm to Work For in the large firm category by Staffing Industry Analysts, the global advisor on contingent work, for four consecutive years.

Job Description

Position Details: Job Title: SAS Admin/Support Duration: 18 Months Location: Irvine, CA

Application Systems Engineer (SAS Admin/Support/on-call support): General duties/responsibilities: • Build, Test and Maintain SAS codes and data sets • Experience using SAS Management Console (SMC). • Creating Users/Groups/Roles • Creating and securing folders • Creating and using Access Control Templates • Creating, deploying and scheduling jobs

Qualifications

Requirements: • Experience with SAS Configuration Wizard to administer SAS deployment • Experience monitoring Logs from within SMC • Experience defining Servers and changing server definitions • Experience creating SAS and DBMS libraries • Experience with SAS Environment Manager • AIX Server Skills • Understanding server security and folders and how they relate to SAS folders and security. • Knowledge of SAS configuration files such as autoexec, configuration and environment files. • Starting and stopping servers. • Korn shell scripting as it pertains to SAS servers. • GPFS • Ability to configure SAS servers to run within a SAS GRID environment. • Assist with SAS capacity and disaster recovery planning and execution. • Experience using SAS GRID Manager within the SAS Management Console. • Experience SAS Grid Manager Client Utility and grid syntax. • Experience with Enterprise Grid Orchestrator and Grid Management Services (GMS). • Experience with Platform RTM for SAS. • Experience with LSF Platform Process Manager as it pertains to a GRID environment (e.g., troubleshooting, configuration, installation, etc.). • Experience enabling SAS code to run on the GRID in a SAS/Foundation environment (enabling EG and EM processes to run on the SAS GRID). • Experience reading SAS logs to determine GRID errors and whether GRID is functioning correctly. • Experience configuring SAS for High Availability within GRID environment – including Metadata Server. • Experience designing SAS GRID architectures for optimal SAS deployment within a customer’s environment. • Analyzing SAS GRID technical environment options and deployment architecture, including Grid node configuration. • Working with SAS GRID-related high availability and failover requirements, including storage architecture and configuration (NAS / SAN configuration). • Backing up and restoring SAS within a GRID environment. • Experience with and applying SAS GRID usage tracking, monitoring, alerts notification and load balancing. • Assessing and optimizing performance of the SAS GRID environment. • Managing all GRID nodes from a centralized location. • Adding nodes to the GRID environment, or reconfiguring nodes. Other Requirements: • Minimum of 6+ years of SAS experience in a medium sized SAS environment (100-120 users) • 5+ years of Oracle and Unix experience • Excellent verbal and written communication skills - must be able to effectively communicate with business users and IT teams • Self-motivated, independent worker with good organization, analytical and problem solving skills • Knowledge of Data Warehouse terminology, architecture and design • Solid understanding of SAS statistical modeling capabilities and terminology • Bachelor’s degree in Computer Science or related field