SAS Administrator

Experience

3-6

Location

Dubai Immediate joiners Role & responsibilities 3-6 years of overall experience in SAS Administration, with hands-on exposure to Kubernetes-based deployments. Strong working knowledge of SAS Viya 3.x/4.x and/or SAS 9.4 architecture and administration. Hands-on experience with Kubernetes (kubectl, Helm, namespaces, RBAC, networking, storage/persistent volumes). Familiarity with containerization tools (Docker) and container registries. Experience with Linux/Unix system administration (shell scripting, cron, log analysis). Working knowledge of SAS ETL tools SAS DI Studio, SAS Data Integration, SAS Management Console. Experience with monitoring/logging tools such as Prometheus, Grafana, Splunk, or ELK stack. Basic understanding of networking concepts (DNS, load balancers, ingress, firewalls) in a cloud/on-prem hybrid setup. Good understanding of SQL and relational databases (Vertica, SQL Server, PostgreSQL, etc.). Strong troubleshooting, analytical, and problem-solving skills. Good communication skills and ability to work with cross-functional teams (Infra, DevOps, Data Engineering). Desired Candidate Profile 3-6 years of overall experience in SAS Administration, with hands-on exposure to Kubernetes-based deployments. Strong working knowledge of SAS Viya 3.x/4.x and/or SAS 9.4 architecture and administration. Hands-on experience with Kubernetes (kubectl, Helm, namespaces, RBAC, networking, storage/persistent volumes). Familiarity with containerization tools (Docker) and container registries. Experience with Linux/Unix system administration (shell scripting, cron, log analysis). Working knowledge of SAS ETL tools SAS DI Studio, SAS Data Integration, SAS Management Console. Experience with monitoring/logging tools such as Prometheus, Grafana, Splunk, or ELK stack. Basic understanding of networking concepts (DNS, load balancers, ingress, firewalls) in a cloud/on-prem hybrid setup. Good understanding of SQL and relational databases (Vertica, SQL Server, PostgreSQL, etc.). Strong troubleshooting, analytical, and problem-solving skills. Good communication skills and ability to work with cross-functional teams (Infra, DevOps, Data Engineering).