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).