Posted 5 days ago
Senior Python Developer with PySpark and AWS
@ Luxoft
Toronto, Ontario
Overview
Luxoft is hiring a Senior Python Developer to work on its data engineering organization's Analytical Work Bench, an integrated development environment. The role involves integrating large datasets into the research ecosystem and building Big Data solutions on AWS EMR with Python and PySpark. The posting requires over 8 years of Python experience and a full-time schedule.
Responsibilities:
- Integrate large datasets into the research ecosystem via the resource platform
- Rationalize and integrate the Analytical Work Bench with another internal application
- Build an IDE based on Jupyter Lab using custom code
Requirements summary:
- 8+ years of Python Core and PySpark experience
- Proven AWS experience with Big Data solutions on EMR
- 2+ years with Pylint and Pytest
- 5+ years with PyPI and Gulp
- 2+ years with Jenkins and UrbanCode CI/CD
Tools & skills
Source and dates
Source type not verified · apify-linkedin
- Employer posting date
- 2026-11-05
- First seen by our source
- 2026-11-10
- Source record updated
- 2026-11-10
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Software development |
| Experience | 8+ years |
| Hours per week | 40 (estimated) |
| Work setting | Office, Home |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Bachelor’s degree (preferred) |
| Fields of study | Engineering, Computer Science |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Luxoft
| Field | Value |
|---|---|
| Open jobs on Jobsy | 3 |
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.
Journal
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