SAS/Python Developer
- Toronto, ON, Canada
Full-time
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Job details
- Job type
- Full-time
- Apply by
- Experience
- Experience Required: 6–8 Years
- Posting language
- English
- Posted
Original job description
SAS/Python Developer
Work Model: Hybrid (2 days per week in-person at Toronto office preferred)
Experience Required: 6–8 Years
Skills: Digital: Python, Azure Machine Learning (ML), Terraform, AI & Gen AI – Products & Tools
Role Description
- Support enterprise SAS decommissioning initiatives 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.
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
- Bachelor’s or Master’s degree in a relevant field.
More about this job
Responsibilities
Migrate legacy SAS programs, datasets, and analytical processes to scalable Python/Anaconda solutions, and develop, test, and maintain Python applications and automation. Build and optimize Linux/Unix data-processing pipelines and SQL solutions for Netezza and Redshift, while collaborating with stakeholders and maintaining code and documentation.
Requirements
Requires 6–8 years of experience, including Python/Anaconda development and SAS-to-Python migration, SQL and database experience with Netezza and Redshift, and Linux/Unix scripting with CRON scheduling. A bachelor’s or master’s degree in a relevant field is required; SAS Enterprise Guide, JupyterHub, GitHub, GitHub Copilot, testing, debugging, and code optimization are preferred.
Skills
- Python
- Anaconda
- SAS
- SAS-to-Python Migration
- SQL
- Netezza
- Redshift
- Linux/Unix Scripting
- CRON Scheduling
- SAS Enterprise Guide
- JupyterHub
- GitHub
- GitHub Copilot
- Unit Testing
- Debugging
- Terraform
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Data & Analytics
Keywords
- Python
- Anaconda
- SAS
- SAS-to-Python Migration
- Azure Machine Learning
- Terraform
- Artificial Intelligence
- Generative AI
- SQL
- Netezza
- Redshift
- Linux
- Unix
- CRON Scheduling
- SAS Enterprise Guide
- JupyterHub
- Git
- GitHub
- GitHub Copilot
- Unit Testing
- Debugging
- Code Optimization
- Automation
- Data Processing Pipelines
- Application Modernization