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DataArt is a global software engineering firm that takes a uniquely human approach to solving problems.
5 февраля 2020

Node.js Engineer, Communications Services (Relocation to Buenos Aires) (вакансия неактивна)

за рубежом

Необходимые навыки

3+ years of experience developing commercial software
Experience developing large enterprise applications
Experience with Node.js platform
Knowledge of Backbone.js or willingness to learn
Skills working with JavaScript
Knowledge of UNIX, Bash, or a willingness to work with these technologies
Spoken English

Будет плюсом

Experience in Python, Java or willingness to learn
Knowledge of jQuery, Kafka, Less, or a willingness to work with these technologies
Knowledge of Perl, C ++, or a willingness to work with these technologies
Knowledge of Spanish

Предлагаем

Professional Development:
— Experienced colleagues who are ready to share knowledge;
— The ability to switch projects, try yourself in different roles;
— More than 150 workplaces for advanced training;
— Study and practice of English: courses and communication with colleagues and clients from different countries;
— Support of speakers who make presentations at conferences and meetings of technology communities.
The ability to focus on your work: a lack of bureaucracy and micromanagement, and convenient corporate services;
Lack of dress code, friendly atmosphere, concern for the comfort of specialists;
Flexible schedule and the ability to work remotely;
The ability to work in any of our development centers.

О проекте

THE POSITION OFFERS RELOCATION OPPORTUNITY. RELOCATION TO ARGENTINA (BUENOS AIRES).

— Relocation compensation — up to 1000 USD
— Free of charge accommodation in a corporate apartment while searching for a flat (up to a month after the move)
— Help with relocation paperwork (work permit, stay permit etc).

Our client is a global provider of testing, analytics, and security solutions for the telecommunications sector.

DataArt’s specialists are helping to develop an analytical solution which tracks transactions that determine the quality of customer experience with network service providers (QoE). From these transactions, key indicators are displayed, such as radio frequency performance, base signal speed, and service performance (VoLTE, SMS). All metrics are combined into the final QoE estimates, which are used to determine hot spots and help localize and solve service quality problems.