Position: Middle/Senior Python Developer
Company: Grid Dynamics
Category: Python
Experience required: 3y
English level: upper

Our customer is one of the world’s largest technology companies based in Silicon Valley with operations all over the world. On this project, we are working with bleeding-edge big data technologies to develop a high-performance data analytics platform, which handles petabytes of data. We are looking for an enthusiastic and technology-proficient Big Data Developer, who is eager to participate in design and implementation of a top-notch big data solution that will be deployed at a massive scale.

Responsibilities:
- Participate in design and development 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

Requirements:
- 3 years of experience in Python
- Experience with Django, Flask
- Experience with React
- Hands-on experience in SQL, MySQL
- Upper-Intermediate English
- Good communication skills

We offer:
- Opportunity to work on bleeding-edge projects
- Work with a highly motivated and dedicated team
- Competitive salary
- Flexible schedule
- Benefits program
- Social package — medical insurance, sports
- Corporate social events
- Professional development opportunities
- Opportunity for long business trips to the US and possibility for relocation

About us:
Grid Dynamics is the engineering services company known for transformative, mission-critical cloud solutions for retail, finance and technology sectors. We architected some of the busiest e-commerce services on the Internet and have never had an outage during the peak season. Founded in 2006 and headquartered in San Ramon, California with offices throughout the US and Eastern Europe, we focus on big data analytics, scalable omnichannel services, DevOps, and cloud enablement.