Sas Administrator

Hexaware Technologies; Dubai; On-site; AED 400,000 - 600,000; Full time

Job summary

Hexaware Technologies is seeking a SAS Administration expert with hands-on Kubernetes deployment experience in a Dubai-based environment. The role requires extensive SAS platform knowledge, including SAS Viya 3.x/4.x and SAS 9.4, plus Kubernetes, Docker, and monitoring tools.

Candidates should have Linux/Unix administration skills, familiarity with SAS ETL tools (SAS DI Studio, SAS Data Integration, SAS Management Console), and strong networking basics for cloud/on-prem hybrid setups.

Qualifications

• 36 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 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).

Responsibilities

• 36 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 SAS9.4 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—SASDI Studio, SASData Integration, SASManagement 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).

Skills

SAS Administration

Troubleshooting

Cross-functional collaboration

Shell scripting

Analytical skills

Problem-solving

Communication skills

Linux/Unix administration

Tools

Kubernetes

Docker

kubectl

Helm

SASDI Studio

SAS Data Integration

SAS Management Console

Prometheus

Grafana

Splunk

ELK Stack

SQL databases (Vertica, SQL Server, PostgreSQL)

Job description

Experience : 3-6

Location : Dubai

Immediate joiners

Role & responsibilities

• 36 yearsof overall experience inSASAdministration, with hands‑on exposure to Kubernetes-based deployments.
• Strong working knowledge of SASViya 3.x/4.xand/or SAS9.4architecture andadministration.
• 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 systemadministration (shell scripting, cron, log analysis).
• Working knowledge of SASETL tools—SASDI Studio,SASData Integration,SASManagement 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).