SAS Developer

• Develop, maintain, and enhance SAS programs, macros, and scripts.
• Perform data extraction, transformation, and loading (ETL) activities.
• Analyze large datasets and generate reports for business insights.
• Design and optimize SAS data models and workflows.
• Validate and troubleshoot SAS jobs and production issues.
• Collaborate with cross-functional teams to gather business requirements.
• Create automated reports and dashboards.
• Ensure data accuracy, integrity, and compliance with company standards.
• Participate in code reviews and documentation activities.
• Support deployment and maintenance of SAS applications.
• Participate in migration of SAS workloads, ETL jobs, and batch processes from SAS GRID to SAS Viya.
• Analyze existing SAS GRID environments, ETL workflows, scheduling dependencies, and data pipelines.
• Convert and validate SAS programs, macros, and ETL processes for SAS Viya compatibility.
• Support migration of SAS Enterprise Guide projects, batch scripts, and shared libraries.
• Ensure migrated jobs execute efficiently within the SAS Viya compute environment.
• Identify compatibility issues and recommend remediation approaches.
• Quality Assurance & Validation
• Perform code validation and reconciliation between SAS GRID and SAS Viya outputs.
• Conduct unit testing, system testing, and parallel run validations.
• Troubleshoot migration and ETL-related issues.
• Ensure data quality, accuracy, and process integrity throughout migration activities.
• Stakeholder & Client Engagement
• Collaborate with business users, data teams, infrastructure teams, and architects.
• Provide regular updates on migration progress and issue resolution.
• Support client discussions and technical walkthroughs as needed.

Required Technical Skills

SAS Technologies

• Strong hands-on experience in SAS Base Programming
• SAS Macros
• SAS Enterprise Guide (EG)
• SAS Viya Platform (Good to have)

ETL & Data Engineering Skills

• ETL development and maintenance
• Data transformation and integration
• Data quality validation and reconciliation
• Performance tuning and optimization of SAS jobs
• Understanding of data warehousing concepts

Development & Tools

• Git / version control systems
• CI/CD exposure is preferred
• Experience working in Linux environments)

Cloud & Infrastructure (Preferred)

• Experience with AWS, Azure, or GCP environments
• Cloud-based analytics platform deployment

Domain Expertise

• Experience in Property & Casualty (P&C) Insurance domain preferred
• Understanding of insurance data, underwriting, claims, pricing, or actuarial datasets is an advantage
• Familiarity with regulatory and reporting environments is preferred.

Leadership & Soft Skills

• Strong problem-solving and debugging skills
• Good communication and collaboration abilities
• Ability to work independently and within distributed teams
• Willingness to learn and adapt to new SAS platform capabilities

• 4+ years of experience in SAS programming and ETL development
• Strong SAS Base and Macro programming expertise
• Experience supporting SAS GRID-based applications and batch processes
• Exposure to SAS Viya is preferred
• Experience in ETL support, enhancement, and migration activities
• Ability to work collaboratively within cross-functional teams

Education

Bachelor’s or Master’s degree in one of the following:

• Computer Science
• Statistics
• Data Science
• Engineering
• Mathematics
• Or related technical discipline

Preferred Qualifications

• SAS Certifications (Base SAS, Advanced SAS, SAS Viya)
• Experience with Python or R for advanced analytics
• Experience with Agile / Scrum delivery models
• Previous experience leading large-scale analytics platform migrations
• Exposure to insurance analytics or actuarial systems