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- Employment type
- Full-time
- Experience level
- Senior · 5+ years
- Apply by
- Apr 17, 2027
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Mid-Senior level
- Application method
- Direct apply is available
Job summary
Develop with Python and PySpark in AWS cloud environments, including AWS EMR for big data. Gather business requirements and communicate effectively with stakeholders.
Job details
AWS Cloud and AWS EMR (Big Data) Python Core and PySpark (8+ years) Pylint and Pytest (2+ years) PyPI and Gulp (5+ years) Jenkins and UrbanCode CI/CD (2+ years) Strong communication and business requirements gathering Nice To Have React, JupyterLab, Data Engineering/Data Science
What you’ll do
Develop with Python and PySpark in AWS cloud environments, including AWS EMR for big data. Gather business requirements and communicate effectively with stakeholders.
Requirements
Requires 8+ years of Python and PySpark experience, along with experience in AWS cloud and AWS EMR. Also seeks experience with Pylint and Pytest, PyPI and Gulp, Jenkins and UrbanCode CI/CD, plus strong communication and business requirements gathering skills.
Listed skills
- Python · Preferred
- Amazon Web Services · Preferred
- CI/CD · Preferred
- Communication · Preferred
- Business Requirements Gathering · Preferred
- React · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Python
- PySpark
- AWS
- AWS EMR
- Pylint
- Pytest
- PyPI
- Gulp
- Jenkins
- UrbanCode
- CI/CD
- Communication
- Business Requirements Gathering
- React
- JupyterLab
- Data Engineering
Job areas
- Software
- Technology
- Data & Analytics
- Consulting
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