Sas / Python Developer

SAS / Python Developer - T4 onlyLocation: Toronto ON (Hybrid - 3 Days/Week)Primary SkillsSAS, Python, Migration
Primary Experience7+ 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 Responsibilities
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 new
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 Qualifications
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.
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