Senior SAS EG and SAS VIYA Developer
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Job description
We are looking for an experienced SAS EG and SAS VIYA professional with strong hands-on expertise in modern SAS architecture, analytics, and data management. The candidate will be responsible for designing, developing, migrating, and supporting analytics solutions on the SAS EG and SAS VIYA platform, working closely with business stakeholders, data engineers, and analytics teams. Key Responsibilities Design, develop, and support analytics solutions using SAS EG and SAS VIYA (Viya 3.x / Viya 4) Migrate legacy SAS (Base SAS / SAS 9.x) workloads to SAS EG and SAS VIYA Understand of SAS EG and SAS VIYA on Kubernetes-Viya 4 deployment, namespace structure, SAS Viya Deployment Operator. Develop and optimize programs using SAS Studio, CAS, DATA Step, PROC SQL Work extensively with CAS (Cloud Analytic Services) for in memory analytics Build and deploy analytical models using SAS Visual Analytics (VA) and Visual Statistics Integrate SAS VIYA with data sources such as Oracle, Teradata, SQL Server, Hadoop, Snowflake, Cloud data platforms Implement and support model lifecycle management in SAS EG and SAS VIYA Collaborate with business and data teams to understand requirements and translate them into technical solutions Ensure performance tuning, security, and governance best practices are followed Exposure to CI/CD pipelines for SA content version control and automated promotion. Triage and resolve SAS log errors. CAS session failures, CASLIB connectivity issues, and performance regression in Viya environment. Participate in code reviews, production support, and release management activities Provide mentoring and technical guidance to junior team members
Requirements
7+ years of experience in SAS development and analytics Strong hands on experience with SAS EG and SAS VIYA platform Proficiency in: Base SAS, DATA Step, PROC SQL, SAS Macros, SAS EG, SAS Studio, SAS Grid Manager CAS / CASLIBs SAS Visual Analytics Experience in SAS 9.x to SAS VIYA migration Strong understanding of data warehousing and ETL concepts Hands-on experience with Linux/Unix environments Knowledge of REST APIs and integration patterns (preferred) SAS Viya4 or SAS 9 Certified Advanced programmer (preferred) Experience working in Agile/Scrum delivery model Excellent analytical, debugging, and problem-solving skills Skills: Digital : BI- Fundamentals of Business Analytics using SAS~Life Sciences : BioStats Data Analysis| Reporting and Standards Management Experience Required: 6-8