About this role
• 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