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Zodiac Solutions, Inc

SAS Technical Consultant

Markham, ON, Canada

Contract

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Job details

Job type: Contract
Apply by: Nov 6, 2026
Experience: 8–10 years of hands-on experience in SAS development and data engineering projects.
Posting language: English
Posted: Oct 7, 2026

Original job description

Job Title: SAS Technical Consultant

Location: Markham, ON HYBRID (3 Days Onsite (Mon/ Tues/ Wed)

Type: Contract

Role Summary

We are seeking an experienced SAS Technical Lead to support a large-scale SAS-to-Snowflake modernization and migration program. The ideal candidate should possess deep expertise in Base SAS, SAS Enterprise Guide, SAS Macros, ETL/Data Processing, and enterprise data warehousing concepts, with the ability to analyze complex SAS estates and guide migration teams through discovery, assessment, conversion, validation, and cutover activities.

The candidate will act as the primary SAS SME, helping define migration strategies, assess workloads, identify dependencies, and ensure successful conversion of SAS assets to Snowflake-based solutions.

Key Responsibilities

Lead discovery and assessment activities for SAS modernization and migration initiatives.
Analyze existing SAS landscapes including SAS programs, Enterprise Guide (EGP) projects, macros, datasets, reports, and scheduled jobs.
Conduct workshops with business and technical stakeholders to understand business processes, reporting requirements, and application dependencies.
Perform complexity assessment and classification of SAS workloads into migration categories such as Migrate, Refactor, Re-engineer, Archive, or Retire.
Analyze SAS code, macro frameworks, ETL processes, and data transformations to identify migration approaches and conversion strategies.
Support Proof of Concept (PoC) activities by selecting representative SAS workloads and validating migration feasibility.
Provide technical leadership, mentoring, and guidance to development and migration teams throughout the program lifecycle.
Review converted code, validate business logic, and support production cutover and hypercare activities.

Required Skills

8–10 years of hands-on experience in SAS development and data engineering projects.
Strong expertise in:
Base SAS
SAS Enterprise Guide (EGP)
PROC SQL
DATA Step Programming
SAS Macros
SAS Dataset Management
Experience analyzing and supporting large SAS application landscapes.
Strong understanding of Data Warehousing, ETL/ELT, and Data Migration concepts.
Experience performing application discovery, dependency analysis, and impact assessment.
Strong SQL skills and understanding of relational database concepts.
Strong analytical and problem-solving skills with the ability to understand complex business logic embedded within SAS assets.
Experience working with large data volumes and complex batch processing workflows.
Excellent communication and stakeholder management skills.

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More about this job

Responsibilities

Lead discovery and assessment of SAS assets, analyze workloads and dependencies, and define migration strategies for moving SAS solutions to Snowflake. Guide migration teams through proof-of-concept work, code review, validation, production cutover, and hypercare.

Requirements

Requires 8–10 years of hands-on SAS development and data engineering experience, with strong expertise in Base SAS, SAS Enterprise Guide, macros, SQL, and data processing. Candidates should also have experience with large SAS application landscapes, data warehousing and migration, dependency analysis, complex batch workflows, and stakeholder communication.

Skills

Base SAS
SAS Enterprise Guide
PROC SQL
DATA Step Programming
SAS Macros
SAS Dataset Management
ETL/ELT
Data Warehousing
Data Migration
SQL
Application Discovery
Dependency Analysis
Impact Assessment
Snowflake
Data Engineering
Stakeholder Management

Visa sponsorship

Not detected in the job text

Keywords

SAS
Base SAS
SAS Enterprise Guide
SAS Macros
PROC SQL
DATA Step
Snowflake
ETL
ELT
Data Warehousing
Data Migration
Data Engineering
SAS Modernization
Application Discovery
Dependency Analysis
Impact Assessment
Workload Classification
Proof Of Concept
Code Conversion
Business Logic Validation
Production Cutover
Hypercare
Batch Processing
Relational Databases
SQL
Stakeholder Management

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