Python Engineer (offline)

If you are excited about all aspects of modern engineering, from writing great code, to creating architectures, designing components, interacting with clients, and delivering a working system to production, then you are the kind of person we are looking for.

Responsibilities:
- Participate in design, development, delivery, and support tools/dashboards to gather metrics and data using Python
- Constantly improve software quality (evaluate and incorporate new libraries, tools, and technologies; code reviews; refactoring; testing; etc.)
- Analyze and improve application performance
- Search for simple and robust solutions to complex tasks
- Work in an Agile methodology environment where innovation, teamwork, and creativity are the keys to success
- Collaborate with a team of developers, QA engineers, analysts

Requirements:
- Good knowledge of core Python: data structures, IO, networking
- Deep knowledge of SQL
- Experience with one of the cloud providers: AWS, GCP, Azure
- Experience working with PySpark is a plus
- Linux hands-on experience
- Good communication skills and at least intermediate technical speaking English
- Desire and ability for quick learning of new tools and technologies
- Understanding of general OOP and Functional programming concepts

We offer:
- Opportunity to work on bleeding-edge projects
- Work with a highly motivated and dedicated team
- Competitive salary
- Flexible schedule
- Medical insurance
- Benefits program
- Corporate social events

About Grid Dynamics

Grid Dynamics is a world-class expert company with highly scalable distributed solutions and CI/CD. We help one of the biggest financial companies on the East Coast to solve the challenging problems that affect the entire development organizations, like building enterprise web services with millisecond response time, or improving development processes by introducing Agile, test automation, TDD, and CI/CD processes.

Company website:
https://www.griddynamics.com

The job ad is no longer active
Job unpublished on 16 May 2022

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