Sr. Python Developer
- Toronto, ON, Canada
Full-time
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Job details
- Job type
- Full-time
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- Posting language
- English
- Posted
Original job description
Iris's direct client, one of the Top 5 Bank in Canada, is looking to hire a Sr. Angular Developer (Mobile App Development) for a long term opportunity at Remote.
Our Client is a Canadian multinational financial services company and the largest bank in Canada by market capitalization. The bank serves over 17 million clients and has more than 89,000 employees worldwide. Bank is serving individual consumers, small and middle market businesses and large corporations with a full range of banking, investing, asset management and other financial and risk-management products and services
Position: Sr. Python Developer
Location: Toronto, ON (Hybrid)
Duration: Full Time Role
Domain: Banking
Requirement
Key Responsibilities
- Code 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
- Education: 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
Thanks and Regards,
Raghav Ranjan
Iris Software / SSA Infosystems Inc
Royal Bank Plaza – North Tower
200 Bay Str. Toronto, ON, M5J 2J2
Email: raghav.ranjan@irissoftware.com
www.irissoftware.com
More about this job
Responsibilities
Convert legacy SAS programs, including DATA steps, macros, and PROC SQL, into modular Python scripts and build or optimize data ingestion and processing pipelines. Validate Python outputs against SAS results, support Linux/Unix automation and scheduled jobs, and maintain code quality, tests, version control, and technical documentation.
Requirements
Requires a bachelor’s or master’s degree in computer science, data engineering, statistics, or a related quantitative field, along with at least three years of hands-on SAS development. Candidates must also have at least two years of production Python experience, proficiency with pandas and relational SQL, and experience with Anaconda, Git/GitHub, Linux/Unix scripting, debugging, and data validation.
Skills
- SAS
- Python
- Pandas
- NumPy
- SQL
- Data Migration
- Data Pipelines
- Data Validation
- Debugging
- Anaconda
- JupyterHub
- Git
- GitHub
- Linux
- Unix Shell Scripting
- Unit Testing
Visa sponsorship
Not detected in the job text
Hiring contact
Raghav Ranjan
Hiring contact email
raghav.ranjan@irissoftware.com
Categories
- Technology
- Software
- Data & Analytics
- Finance & Accounting
Keywords
- SAS
- Base SAS
- SAS Macros
- DATA Steps
- PROC SQL
- Python
- Pandas
- NumPy
- Relational SQL
- Data Migration
- Data Ingestion
- Data Transformation
- Data Processing Pipelines
- Side-by-Side Validation
- Statistical Parity
- Unix
- Linux
- Shell Scripting
- CRON
- Enterprise Orchestrators
- Anaconda
- JupyterHub
- Containerized Environments
- Cloud Environments
- Git
- GitHub
- Unit Testing
- Technical Documentation
- Banking
- Financial Services