SAS / Python Developer
- Toronto, ON, Canada
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Original job description
Role: SAS / Python Developer
Location: Toronto, ON – Hybrid
Contract Role
Job Description
SAS decommissioning program by migrating legacy SAS-based workloads to Anaconda/Python.
Analyze business and technical requirements and design scalable Python-based solutions.
Interpret and migrate existing SAS programs, datasets, and analytical processes to Python environments.
Develop, test, and maintain high-quality Python applications, scripts, and automation solutions.
Build and support Unix/Linux-based automation and data-processing pipelines using scripting and CRON scheduling.
Work with relational databases, including Netezza and Redshift, and develop efficient SQL-based data processing solutions.
Optimize applications for performance, scalability, reliability, and code quality while maintaining documentation and source code using Git/GitHub.
Collaborate with business stakeholders, developers, and infrastructure teams to support migration and modernization objectives, targeting migration or retirement of active SAS workloads by December 2027.
Top 3 Required Skills:
Python / Anaconda and SAS, including SAS-to-Python migration experience
SQL and Databases, including Netezza and Redshift
Linux/Unix scripting and CRON scheduling
Top 3 Preferred Skills:
SAS Enterprise Guide and JupyterHub
GitHub and GitHub Copilot
Unit testing, debugging, code optimization, and automation development
Education Requirements:
Bachelors or Masters in relevant field
More about this job
Responsibilities
Migrate or retire legacy SAS workloads by interpreting existing programs, datasets, and analytical processes and rebuilding them as scalable Python solutions. Develop and maintain Python applications and Linux/Unix automation pipelines, work with relational databases, optimize and document code, and collaborate with business and technical teams on modernization objectives.
Requirements
The role requires experience with Python/Anaconda and SAS, including SAS-to-Python migration, SQL and databases such as Netezza and Redshift, and Linux/Unix scripting with CRON scheduling. A bachelor's or master's degree in a relevant field is required; preferred skills include SAS Enterprise Guide, JupyterHub, GitHub tools, testing, debugging, optimization, and automation.
Skills
- Python
- Anaconda
- SAS
- SAS-to-Python Migration
- SQL
- Netezza
- Amazon Redshift
- Linux/Unix Scripting
- CRON Scheduling
- SAS Enterprise Guide
- JupyterHub
- GitHub
- GitHub Copilot
- Unit Testing
- Debugging
- Code Optimization
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Data & Analytics
Keywords
- SAS Decommissioning
- SAS-to-Python Migration
- Python
- Anaconda
- SAS
- SAS Enterprise Guide
- JupyterHub
- SQL
- Relational Databases
- Netezza
- Amazon Redshift
- Linux
- Unix
- Shell Scripting
- CRON
- Data Processing Pipelines
- Automation
- Git
- GitHub
- GitHub Copilot
- Unit Testing
- Debugging
- Code Optimization
- Application Performance
- Scalability
- Reliability
- Documentation
- Data Migration
- IT Modernization