Python developer (data engineering)
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Job Location:
Seattle, OR - USA
Monthly Salary:
Not Disclosed
Posted on:
14 hours ago
Vacancies:
1 Vacancy
Job Summary
Location: Seattle WA
Duration: 6 months
GBaMS ReqID:
US CITIZENS AND GC HOLDERS ONLY
100% ON-SITE
10 years Exp
2 opening for this position
Must-Have Technical/Functional Skills
Strong experience in Python for data engineering and application development.
Proficiency in frontend and backend frameworks:
Backend: Python Django
Frontend: Angular React
Ability to design and implement RESTful APIs and integrate with UI components.
Solid understanding of data pipeline design ETL processes and optimization.
Knowledge of Postgres and MongoDB (preferred).
Familiarity with scalable architecture and performance tuning.
Roles & Responsibilities
Data Pipeline Development
Design develop and implement data pipelines using Python.
Web Application Development
Build and maintain web applications using Python/Django and Angular/React.
API Development
Design and implement RESTful APIs; integrate with frontend components.
Code Quality & Optimization
Write clean efficient maintainable code following best practices.
Optimize applications for speed and scalability.
Testing & Debugging
Participate in code reviews testing and debugging to ensure software quality.
Troubleshoot and resolve issues across development testing and production.
Collaboration
Work closely with data scientists analysts and stakeholders to deliver data solutions aligned with business goals.
Documentation
Create and maintain documentation for data infrastructure pipelines and ETL processes.
Experience Required
Minimum 3 years in Python development and data engineering.
Generic Managerial Skills
Ability to work in a dynamic environment and solve complex problems.
Strong problem-solving skills and ability to handle ambiguity.
Duration: 6 months
GBaMS ReqID:
US CITIZENS AND GC HOLDERS ONLY
100% ON-SITE
10 years Exp
2 opening for this position
Must-Have Technical/Functional Skills
Strong experience in Python for data engineering and application development.
Proficiency in frontend and backend frameworks:
Backend: Python Django
Frontend: Angular React
Ability to design and implement RESTful APIs and integrate with UI components.
Solid understanding of data pipeline design ETL processes and optimization.
Knowledge of Postgres and MongoDB (preferred).
Familiarity with scalable architecture and performance tuning.
Roles & Responsibilities
Data Pipeline Development
Design develop and implement data pipelines using Python.
Web Application Development
Build and maintain web applications using Python/Django and Angular/React.
API Development
Design and implement RESTful APIs; integrate with frontend components.
Code Quality & Optimization
Write clean efficient maintainable code following best practices.
Optimize applications for speed and scalability.
Testing & Debugging
Participate in code reviews testing and debugging to ensure software quality.
Troubleshoot and resolve issues across development testing and production.
Collaboration
Work closely with data scientists analysts and stakeholders to deliver data solutions aligned with business goals.
Documentation
Create and maintain documentation for data infrastructure pipelines and ETL processes.
Experience Required
Minimum 3 years in Python development and data engineering.
Generic Managerial Skills
Ability to work in a dynamic environment and solve complex problems.
Strong problem-solving skills and ability to handle ambiguity.
Key Skills
- APIs
- Docker
- Jenkins
- REST
- Python
- AWS
- NoSQL
- MySQL
- JavaScript
- Postgresql
- Django
- GIT
