Job Description:
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.
