SAS Developer
- Toronto, ON, Canada
Contract
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- English
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Original job description
Role: SAS Developer
Location: Toronto, ON
Duration: Long Term Contract
Job Description:
Role Description:
Support BMO’s U.S. Banking 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 legacy SAS workloads, programs, datasets, and analytical processes to Python and Anaconda, while developing and maintaining scalable applications and data-processing solutions. Build Unix/Linux automation pipelines, work with Netezza and Redshift databases, optimize and document code, and collaborate with stakeholders and technical teams to support modernization goals.
Requirements
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, unit testing, debugging, code optimization, and automation development.
Skills
- Python
- Anaconda
- SAS
- SAS-to-Python Migration
- SQL
- Netezza
- Redshift
- Linux/Unix Scripting
- CRON Scheduling
- SAS Enterprise Guide
- JupyterHub
- GitHub
- Unit Testing
- Debugging
- Code Optimization
- Automation Development
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Data & Analytics
- Finance & Accounting
Keywords
- Python
- Anaconda
- SAS
- SAS-to-Python Migration
- SQL
- Netezza
- Amazon Redshift
- Linux
- Unix
- CRON
- SAS Enterprise Guide
- JupyterHub
- Git
- GitHub
- GitHub Copilot
- Unit Testing
- Debugging
- Code Optimization
- Automation
- Data Processing Pipelines
- Relational Databases
- Application Modernization
- Workload Migration
- Source Code Management
- Performance Optimization