Python Developer

Tamanna Technology; Toronto; On-site; CAD 80,000 - 100,000; Full time

Job summary

A tech company in Toronto is seeking an experienced Python Developer with a strong understanding of SAS-based data workflows. As a hands-on contributor, you will focus on building and optimizing data processing solutions using Python. Candidates should have several years of experience developing Python code, proficiency with data libraries like pandas and NumPy, and a background in performance tuning. This role offers an excellent opportunity to work with complex datasets in a collaborative environment.

Qualifications

• Several years of professional experience developing production-grade Python code.
• Strong proficiency with Python data libraries such as pandas and NumPy.
• Experience processing large or out-of-memory datasets, including parallel or distributed processing.

Responsibilities

• Build, optimize, and maintain data processing solutions.
• Automate data workflows and jobs using Python.
• Write clear, reproducible notebooks that communicate logic and results effectively.

Skills

Python development

Data processing workflows

SAS background

Data libraries (pandas, NumPy)

Performance tuning

Tools

Jupyter Notebooks

Git

Linux

Job description

Python Developer (SAS Background Preferred)

We are seeking an experienced Python Developer with a strong understanding of SAS-based data workflows and deep hands-on expertise in Python. This is a hands-on contributor role (not a leadership position) focused on building, optimizing, and maintaining data processing solutions.

Required Experience & Skills

Core Python Development

• Several years of professional experience developing production-grade Python code.
• Strong proficiency with Python data libraries such as pandas, NumPy, and related ecosystems.
• Comfortable working independently on complex data processing tasks.

Advanced Data Manipulation

• Expertise in merging and joining large datasets efficiently using merge(), join(), and related techniques.
• Strong understanding of data alignment, indexing strategies, and memory-efficient transformations.
• Experience handling complex data structures and edge cases during large-scale data integration.

Scalability & Performance

• Experience processing large or out-of-memory datasets, including:
• Parallel or distributed processing (e.g., multiprocessing, Dask, Spark, or similar).
• Performance tuning to replace or improve upon SAS I/O and batch optimizations.
• Ability to profile code and identify bottlenecks in data pipelines.

Automation & DevOps

• Experience automating data workflows and jobs using Python.
• Familiarity with scheduling, CI/CD pipelines, and environment management.
• Comfortable working in Linux-based environments and with version control systems (e.g., Git).

Testing & Validation

• Strong understanding of testing strategies for data and analytics code.
• Experience writing unit tests, integration tests, and validation checks to ensure data accuracy and consistency.
• Ability to validate Python-based outputs against legacy SAS results when required.
• Hands-on experience working in Jupyter Notebooks for development, analysis, and documentation.
• Ability to write clear, reproducible notebooks that communicate logic and results effectively.

Nice to Have

• Prior experience translating or modernizing SAS workflows into Python-based solutions.
• Exposure to cloud platforms or distributed data environments.