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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

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