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Collabera

SAS to Python Migration Specialist

Toronto, ON, Canada
Greater Toronto Area, Canada, Canada

$85 to $95 CAD / hour · Contract

Apply on LinkedIn About employer

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Job details

Pay: $85 to $95 CAD / hour
Job type: Contract
Apply by: Dec 11, 2026
Experience: 5–9 years of relevant data migration experience for the mid-level position; 10+ years for the senior position.
Posting language: English
Posted: Nov 11, 2026

Original job description

Join a strategic transformation initiative focused on migrating legacy SAS applications to a modern Python-based ecosystem. The project involves critical applications across IFRS 9 Modelling, Risk Campaigns, and Reporting & Analytics.

Key Responsibilities:

Migrate and convert existing SAS scripts and applications into Python, ensuring accuracy, functional equivalence, and optimized performance.
Perform parallel testing of legacy SAS and newly developed Python processes to validate outputs and identify discrepancies.
Conduct data profiling, validation, reconciliation, and quality assurance throughout the migration process.
Develop data dictionaries and establish end-to-end data lineage, documenting data sources, transformations, and data flows.
Apply data analysis and statistical techniques to support Risk Management and related business functions.
Provide post-migration support, technical documentation, and knowledge transfer to internal teams.

Must-Have Skills & Experience:

5–9 years of relevant data migration experience for the mid-level position; 10+ years for the senior position.
Advanced hands-on Python programming skills.
Strong SAS expertise with proven experience in SAS-to-Python migration and code conversion.
Experience in data lineage mapping and data dictionary development.
Strong understanding of data profiling, validation, and quality assurance.

Nice to Have:

Experience with IFRS 9 modelling or other Risk Management domains.
Banking / Financial Services industry exposure.
Statistical modelling experience.

The Company offers a total rewards package in accordance with all applicable federal, provincial, and local laws and requirements. Benefit eligibility and offerings vary based on role, employment status, and work location.

For contractor positions, benefits are limited to those entitlements and protections required by applicable law, which may include (as applicable) vacation pay, public holidays, leaves of absence, and other legally mandated benefits or payments.

AI Disclosure:

We may use AI-enabled and/or automated tools to support parts of our recruitment process, including application screening, interview scheduling, and candidate communications. These tools are used to enhance consistency and efficiency. All hiring decisions involve human review and are not based solely on automated processing.

About Us:

Collabera is a leading Digital Solutions company providing software engineering solutions to the world’s most tech-forward organizations. With more than 25 years of experience, we have hired over 17000 employees across 60+ offices globally and currently place 10000+ professionals annually to support critical IT engagements at more than 500 client sites, 80% being the Fortune 500. {and 59% of the Fortune 50 (could use either stat)}

With Collabera, you

Will get to work on numerous challenging and exciting projects, including UI/UX transformation, Blockchain, AI/Data Science, Cloud migrations, Cyber-Security and Engineering.

At Collabera you have 80% chances of project extension or redeployment to other clients

Will have endless opportunities to learn new technologies through our inhouse Training arm – Cognixia.

Apply on LinkedIn About employer

More about this job

Responsibilities

Migrate SAS scripts and applications to Python, validate functional equivalence and performance through parallel testing, and conduct data profiling, reconciliation, and quality assurance. Document data dictionaries and end-to-end lineage, apply analysis and statistical techniques to support risk functions, and provide post-migration support and knowledge transfer.

Requirements

The mid-level position requires 5–9 years of relevant data migration experience, while the senior position requires 10 or more years. Candidates must have advanced Python skills, strong SAS and SAS-to-Python migration experience, and expertise in data lineage, data dictionaries, profiling, validation, and quality assurance; risk, IFRS 9, banking, and statistical modelling experience are advantageous.

Skills

Python Programming
SAS
SAS-to-Python Migration
Code Conversion
Data Lineage Mapping
Data Dictionary Development
Data Profiling
Data Validation
Data Reconciliation
Quality Assurance
Parallel Testing
Data Analysis
Statistical Techniques
Risk Management
IFRS 9 Modelling
Technical Documentation

Visa sponsorship

Not detected in the job text

Keywords

SAS
Python
SAS-to-Python Migration
Code Conversion
IFRS 9 Modelling
Risk Management
Risk Campaigns
Reporting And Analytics
Data Migration
Parallel Testing
Data Profiling
Data Validation
Data Reconciliation
Quality Assurance
Data Dictionary
Data Lineage
Data Sources
Data Transformations
Data Flows
Data Analysis
Statistical Techniques
Statistical Modelling
Banking
Financial Services
Technical Documentation
Knowledge Transfer

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