SAS Developer

Key Responsibilities

• Design, develop, deploy, and operationalize analytics, fraud, and security intelligence solutions using the SAS Viya platform.
• Build and maintain applications leveraging SAS Visual Investigator (VI) for case management, entity resolution, and link analysis.
• Develop interactive dashboards and reports using SAS Visual Analytics (VA) to support data exploration and business insights.
• Implement SAS Visual Text Analytics (VTA) solutions, including NLP, text mining, and text classification use cases.
• Develop and deploy analytical models and rule-based detection logic within SAS Viya.
• Participate in the complete Software Development Life Cycle (SDLC) — requirements analysis, solution design, development, testing, deployment, and post-go-live support.
• Provide application support, including enhancements, user acceptance testing (UAT), defect analysis, and resolution.
• Support production environments and ensure application stability, performance, and availability.
• Manage and implement change requests based on evolving business and regulatory requirements.
• Collaborate effectively with software engineers, QA testers, business analysts, and project managers.

Mandatory Skills& Experience

• Minimum 5 years of experience as a SAS Developer.
• Strong hands-on experience with the SAS Viya platform.
• Proven experience with:
• SAS Visual Investigator (VI) – case management, entity resolution, link analysis.
• SAS Visual Analytics (VA) – dashboards, reporting, data visualization.
• SAS Visual Text Analytics (VTA) – NLP, text analytics, text classification.
• Solid understanding of SAS Viya architecture, including microservices and the CAS engine.
• Experience in developing and deploying analytical models and rule-based detection logic on SAS Viya.
• Hands-on experience with SAS ETL tools such as SAS Enterprise Guide and/or SAS Data Integration Studio.
• Strong knowledge of SQL and data manipulation.
• Proficiency in Linux (RHEL 7.6 or higher) and command-line operations.
• Experience with enterprise job schedulers such as Control-M or equivalent.

Education &Certifications

• Bachelor’s degree in Computer Science, Information Technology, or a related discipline.
• SAS Certifications (Associate / Specialist) are preferred.