— Hands on experience with Python, plus SQL / NoSQL;
— RESTful Web services experience to expose services and process data;
— Experience with Agile/Scrum and CI tools like Git, Maven, Jenkins, JIRA, Confluence;
— Agile, action-oriented, quick thinker: you can deliver preliminary results fast by making simplifying assumptions, and take time to dive deeper if our business priorities allow and if the problem demands more scientific rigor;
— Experience with Big Data technologies such as Hadoop and NoSQL databases;
— Experience with Java (good to have, but not mandatory);
— Knowledge of Django or any other Python frameworks;
— Experience with Docker, Kubernetes, or similar technologies and hands-on experience developing Cloud applications.
— Hands-on experience analyzing large data sets;
— Hands-on experience with supervised and unsupervised machine learning algorithms for regression, classification, and clustering
— Modern working place (iMac/MacBook or other preferred hardware)
— Cozy office in the very center of the city with a view to the Opera house
— Flexible working hours
— Possibility of partly remote work
— Regular performance reviews
— 20 working days of paid vacation annually
— Additional vacation days for special lifetime events
— 10 working days of paid sick-leaves
— Medical insurance
— Maternity leave policy
— Free English classes
— Compensation of educational and training programs
— Team buildings and corporate events
— Design and develop data projects;
— Improve and provide solutions to the current data processing algorithm;
— Develop and maintain unit and integration tests;
— Deliver well-documented projects and source code;
— Participate in peer review.
An internet start-up in Silicon Valley with a mission to empower people with the best information and tools necessary to achieve their career aspirations. The co-founders have worked together before and have started multiple technologies and internet businesses previously and had multiple successful exits.
Looking for top-notch software engineers to be part of the Data team. You will be part of the early engineering team to design and build the foundation of the product and the engineering infrastructure.