We have Immediate requirement with our Direct Client as SAS / Python Developer @ Toronto ON (Hybrid - 3 Days/Week). if you are interested, Please share your updated resume to
[email protected] Title: SAS / Python Developer - T4 only.
Location: Toronto ON (Hybrid - 3 Days/Week) Primary Skills: SAS, Python, Migration.
Description: 7 years of Experience in SAS, Python Seeking an experienced SAS / Python Developer to join data modernization and migration team. In this role, you will be responsible for analyzing, converting, optimizing, and modernizing legacy SAS-based analytical workflows, data steps, macros, and reports into scalable, production-ready Python environments. You will work closely with data architects, business stakeholders, and infrastructure teams to ensure code accuracy and parity during the transition.
Key ResponsibilitiesCode Migration &
- Translation: Interpret and convert legacy SAS programs (including Base SAS, DATA steps, SAS macros, and PROC SQL) into modular, efficient Python scripts. Data Processing &
- Pipelines: Build, maintain, and optimize data ingestion, transformation, and processing pipelines using Python data manipulation libraries (pandas, NumPy) and SQL. Validation &
- Testing:
Perform side-by-side output validation and debugging between legacy SAS outputs and current Python implementations to ensure statistical and logical parity. Automation &
- Infrastructure: Support Unix/Linux-based automation, schedule jobs via CRON or enterprise orchestrators, and work within containerized or cloud-based Anaconda/JupyterHub environments. Code Quality &
- Documentation: Maintain clean version control using Git/GitHub, write unit tests, and produce thorough technical documentation for migrated pipelines.
Required QualificationsEducation: Bachelor’s or master’s degree in computer science, Data Engineering, Statistics, or a related quantitative field.
SAS Experience: 3 years of hands-on development with Base SAS, SAS Macros, and PROC SQL Python Experience: 2 years of production Python development, with strong proficiency in pandas, data wrangling, and relational SQL. Environment &
- Tools: Experience working in Anaconda environments, Git/GitHub, and Linux/Unix shell scripting.
Analytical Skills: Strong debugging, root-cause analysis, and side-by-side data validation capabilities.
Satya Prasad Nakka Iris
Software 200 Metroplex Drive, Suite #300 Edison, N: (phone hidden) www.irissoftware.com
📌 SAS/ Python Developer (Toronto)
🏢 Iris Software
📍 Toronto