Data Engineer (offline)
The client is Nutanix — a leading cloud computing software company that sells hyper-converged infrastructure (HCI) appliances and software-defined storage. Nutanix was announced an MQ Leader in the November 2018 Magic Quadrant for Hyperconverged Infrastructure.
The solution orchestrates services from a provider without intervention and helps customers change the state of their involved resources using simple instructions. Create BMaaS to work with variety of cloud providers (Azure, Google Cloud etc.)
Responsibilities
- Make architecture for production solutions;
- Build data processing pipelines;
- Review architecture and suggest solutions for improvement;
- Detect and solve performance issues on architectural, design and code levels.
Qualifications
- 4+ years of experience with Python;
- Knowledge and experience with Google Cloud and AWS, Kubernetes;
- Strong knowledge and experience with Docker;
- Strong knowledge and experience with DB design;
- Upper-Intermediate English.
We offer
- Exchange of experience, professional development;
- A strong team, a healthy atmosphere;
- Flexible working time;
- 20 days paid vacation;
- Paid sick leave;
- Paid remote work;
- 8-hour working day and 5-day working week;
- English lessons and massage service in the office (partially paid by the company);
- Opportunity to take part in conferences, meetups etc. (fully or partially paid by the company);
- Regular company events.
About Quantum
Quantum is a global technology partner helping companies solve their data challenges.We advance emerging technologies for outside-the-box solutions, powered with AI, machine learning, computer vision, GIS, blockchain, MLOps, and more.
We aim to maintain a healthy work environment in the team by encouraging abstract thinking and freedom for innovative thinkers.
Join our team and take a step towards your data-driven future with Quantum.
Company website:
http://www.quantumobile.com/
DOU company page:
https://jobs.dou.ua/companies/quantum/
The job ad is no longer active
Job unpublished on
10 December 2020
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