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Luxoft

Senior Python Developer with PySpark and AWS

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Dec 6, 2026
Experience: Advanced proficiency in Python Core and PySpark, with over 8 years of hands-on experience.
Posting language: English
Posted: Nov 6, 2026

Original job description

The project involves the data engineering organization’s Analytical Work Bench , which is an integrated development environment. The objective is to rationalize and integrate AWB with another internally developed application. Additionally, the project includes creating an IDE based on the Jupyter Lab environment using custom code developed by Client.

Responsibilities:

Integrate large datasets into the research ecosystem via the resource platform.

Mandatory Skills Description:

A university degree in Engineering or Computer Science is preferred.

Hard skills:

Proven experience working with cloud-based technologies, specifically AWS.

Solid expertise in Big Data solutions utilizing AWS EMR.

Advanced proficiency in Python Core and PySpark, with over 8 years of hands-on experience.

Practical knowledge of Pylint and Pytest for code quality and testing, with at least two years of experience.

Extensive experience with package management and automation tools such as PyPI and Gulp for over five years.

Familiarity with continuous integration and continuous delivery pipelines using Jenkins and Urban Code, with more than two years of experience.

Soft skills:

Excellent communication skills demonstrated through collaboration with end users to gather and discuss complex business requirements effectively.

Nice-to-Have Skills Description:

UI development with React: Familiarity with building user interfaces using React is advantageous.

JupiterLab: Experience working with JupiterLab is a beneficial asset.

Data Engineering and/or Data Science experience: Having skills or experience in data engineering or data science is a plus.

Apply About employer

More about this job

Responsibilities

Integrate large datasets into the research ecosystem through the resource platform. Help rationalize and integrate the Analytical Work Bench with another internal application, and contribute to a custom IDE based on JupyterLab.

Requirements

Requires over eight years of hands-on experience with Python and PySpark, along with AWS and AWS EMR expertise. Also seeks experience with Pylint and Pytest, package management and automation tools such as PyPI and Gulp, CI/CD tools including Jenkins and UrbanCode, and strong communication skills; an engineering or computer science degree is preferred.

Skills

Python
PySpark
AWS
AWS EMR
Big Data
Pylint
Pytest
PyPI
Gulp
Jenkins
UrbanCode
React
JupyterLab
Data Engineering
Data Science
Communication

Visa sponsorship

Not detected in the job text

Keywords

Python
PySpark
AWS
AWS EMR
Big Data
Data Engineering
Data Science
Analytical Work Bench
Integrated Development Environment
JupyterLab
Resource Platform
Large Datasets
Pylint
Pytest
PyPI
Gulp
Continuous Integration
Continuous Delivery
Jenkins
UrbanCode
React
Business Requirements
Research Ecosystem
Cloud Technologies
Package Management
Automation

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