Про компанію В кращих традиціях стартап-культури Кремнієвої долини, Zazmic народився в гаражі одного з будинків Сан-Франциско. Сьогодні Zazmic Inc. — міжнародна IT-компанія з високим рівнем експертизи у розробці Web та мобільних проектів.
21 сентября 2021

Python developer (open-source EL platform) (вакансия неактивна)

Днепр, удаленно

Необходимые навыки

— 2+ years of experience with modern Python/Django
— Experience with modern database architecture and management techniques
— Understanding of architecting, managing, and scaling services, including both internal and external APIs
— Strong experience with Docker and containers
— Used to working in fast-paced, agile environment
— Networking skills (TCP/UDP, IP, proxy, VPN, etc.)
— Version control and continuous integration tools (GitLab CI, Jenkins, Travis CI, etc.)
— Experience building services that leverage cloud-based infrastructure (GCP, AWS, etc.)
— Deep understanding of Linux

Будет плюсом

— Experience with modern JavaScript & one JavaScript framework (Vue.js, React.js, Angular, etc.)

Предлагаем

— Ability to work remotely from anywhere in the world
— Close cooperation with development team and client
— Dynamic and challenging tasks
— Professional growth
— We cover English classes, certification, team buildings, participation in local conferences.

Обязанности

— Work on core products that will be used for delivering payloads on high performance satellites in space
— Need to be able to truly build and architect
— This is mostly a backend facing role
— Be flexible to work along the stack and be open-minded to solve new problems every day
— Be passionate about Space!

О проекте

The new standard to sync data from applications, APIs & databases to warehouses, lakes & other destinations.
It is a platform that helps you replicate your data in your warehouses, lakes and databases.
Built for extensibility: Adapt an existing connector to your needs or build a new one with ease.
Optional normalized schemas: Entirely customizable, start with raw data or from some suggestion of normalized data.
Full-grade scheduler: Automate your replications with the frequency you need.
Real-time monitoring: We log all errors in full detail to help you understand.
Incremental updates: Automated replications are based on incremental updates to reduce your data transfer costs.
Manual full refresh: Sometimes, you need to re-sync all your data to start again.
Debugging autonomy: Modify and debug pipelines as you see fit, without waiting.