SAS/ Python Developer

We have Immediate requirement with our Direct Client as SAS / Python Developer @ Toronto ON (Hybrid - 3 Days/Week).

Title: SAS / Python Developer - T4 only.

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 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 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.