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Geniusee is a Ukrainian company that gathers 150+ skilled professionals who have already delivered 100+ notable projects in FinTech, EdTech, Retail, and other industries along with cutting-edge technologies. 64 technologies in our stack, to be precise. We work with both small to medium businesses and startups grown by Y Combinator and TechStars in the USA, Great Britain, Europe. We aim to help businesses thrive through tech partnerships and strengthen the engineering community by sharing knowledge and creating opportunities.
6 грудня 2019

Python engineer (вакансія неактивна)

Київ

Необхідні навички

— 3+ years experience with Python;
— Experience with Big Data / Data Warehousing / Data Engineering;
— Experience with scaling web applications;
— Knowledge of MySQL or PostgreSQL or other equivalent RDBMS
— Experience with AWS such as EC2/ELB/S3/RDS
— Knowledge of Docker / Kubernetes
— English upper intermediate or higher

Буде плюсом

— Experience with Kubeflow
— Experience with Ansible, Terraform
— Experience with Jenkins/CircleCI
— Experience with Golang
— Observability experience with Prometheus, Grafana, Kibana
— Experience with Kafka/RabbitMQ.

Пропонуємо

Competitive salary level;
English classes in the office;
Exciting and challenging startup projects;
Ability to practice English and communication skills through permanent interaction with clients from all over the world;
Career development opportunity;
Informal and friendly atmosphere;
Cozy office near the city center;
The ability to focus on your work: a lack of bureaucracy and micromanagement;
Flexible working hours (start your day between 8:00 and 11:30);
Team buildings, corporate parties;
Paid vacation (18 working days) and sick leaves.

Про проєкт

UK based startup is looking for Python engineer. The company specializes on building systems to automatically classify the credibility, quality, safety and reliability of online information, using state-of-the-art machine learning algorithms paired with human expertise.
You will work on implementation of bulk data processing pipelines, streaming pipelines, various data and model storage systems, integration testing, and a slick development experience for the ML team and making sure that this system scales to huge datasets.

Гарячі Python вакансії

Всі Python вакансії