SAS / Python Developer
- Toronto, ON, Canada
Contract
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Original job description
Iris's direct client, one of the Top 5 Bank in Canada, is looking to hire a SAS / Python Developer for a long-term opportunity.
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: SAS / Python Developer
Location: Toronto, ON(Hybrid)
Duration: T4 contract Fulltime role
Required QualificationsRequired Qualifications
- 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.
About Iris Software Inc.
With 4,000+ associates and offices in India, U.S.A. and Canada, Iris Software delivers technology services and solutions that help clients complete fast, far-reaching digital transformations and achieve their business goals. A strategic partner to Fortune 500 and other top companies in financial services and many other industries, Iris provides a value-driven approach - a unique blend of highly-skilled specialists, software engineering expertise, cutting-edge technology, and flexible engagement models. High customer satisfaction has translated into long-standing relationships and preferred-partner status with many of our clients, who rely on our 30+ years of technical and domain expertise to future-proof their enterprises. Associates of Iris work on mission-critical applications supported by a workplace culture that has won numerous awards in the last few years, including Certified Great Place to Work in India; Top 25 GPW in IT & IT-BPM; Ambition Box Best Place to Work, #3 in IT/ITES; and Top Workplace NJ-USA.
More about this job
Responsibilities
Translate legacy SAS programs into modular Python scripts and build, maintain, and optimize data ingestion, transformation, and processing pipelines. Validate Python outputs against SAS results, support Linux-based 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, with at least 3 years of SAS development and 2 years of production Python development. Candidates should be proficient in pandas, data wrangling, relational SQL, Anaconda, Git/GitHub, Linux/Unix shell scripting, debugging, and data validation.
Skills
- SAS
- Python
- Base SAS
- SAS Macros
- PROC SQL
- Pandas
- NumPy
- SQL
- Data Pipelines
- Data Validation
- Unix/Linux
- CRON
- Anaconda
- JupyterHub
- Git/GitHub
- Unit Testing
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Data & Analytics
- Finance & Accounting
Keywords
- SAS
- Python
- Base SAS
- DATA Steps
- SAS Macros
- PROC SQL
- Pandas
- NumPy
- Relational SQL
- Data Ingestion
- Data Transformation
- Data Processing Pipelines
- Code Migration
- Output Validation
- Statistical Parity
- Debugging
- Root-Cause Analysis
- Unix/Linux
- Shell Scripting
- CRON
- Enterprise Orchestrators
- Containerized Environments
- Anaconda
- JupyterHub
- Git/GitHub
- Unit Testing
- Technical Documentation
- Financial Services
- Banking