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