Modernize SAS workflows with Python and migration expertise as a Toronto-based hybrid developer working three days weekly onsite. Transform legacy analytics into production-ready environments.
This experienced SAS Python Developer supports a data modernization and migration team. The work includes converting SAS programs, DATA steps, macros, PROC SQL, and reports into modular Python. You will collaborate with data architects, business stakeholders, and infrastructure teams to maintain accuracy and parity.
Key Responsibilities: Convert legacy SAS programs into efficient Python scripts
Build and optimize ingestion, transformation, and processing pipelines
Validate outputs between SAS and Python implementations
Support Linux automation, CRON scheduling,
and containerized environments
Maintain Git documentation and unit tests
Requirements: Seven or more years of SAS and Python experience
Three or more years developing Base SAS, macros, and PROC SQL
Two or more years producing Python applications
Proficiency with pandas, data wrangling, and relational SQL
Bachelor’s or master’s degree in a related quantitative field
Apply SAS, Python, validation, and migration skills while modernizing analytical workflows in Toronto’s hybrid development setting.