As part of the Data Lake team, you will work on Big Data projects that process large volumes of data either in batch or real-time, on-premise, and in the cloud.

The successful candidate will be an analytical person with a good technical background, and at least two years' experience in Linux/Unix Administration. Previous experience in an infrastructure or DevOps team, with operational tasks besides development and implementation, is highly desirable.

Key responsibilities:
Work with development teams on the core infrastructure needs, standards and deployment scenarios
Sustain the existent core infrastructure and help in integrating new technologies, while ensuring system stability
Collaborate with fellow ranking administrators on setting up the infrastructure and CI/CD pipelines
Debug performance or deployment issues
Work with data scientists and other data analytics teams
Ensure proper documentation and traceability by improving deployment policies and procedures
Participate in the on-call rotation

A working understanding of coding and scripting Bash, Python
Experience with automation/configuration management systems Puppet, Ansible, Salt, Chef
Knowledge of container technologies Docker
Ability to use a wide variety of open source technologies and cloud services
Working experience with RDBMS e.g. MySQL, PostgreSQL
Knowledge of best practices and IT operations in an always-up, always-available service
Ability to understand abstract requirements, define implementation steps and deliver results keeping the client’s needs in focus
High curiosity and self-driven nature but also attention to details
Fluent in English
Good team player and communication skills; Fast learner and willing to improve himself/herself daily
The self-motivated, resourceful person, able to work independently and interdependently and to manage priorities

Big Pluses:
Knowledge of ELK Stack Elasticsearch, Logstash, Kibana
Experience working with NoSQL databases
Experience with container orchestration solutions Kubernetes
Experience with Amazon Web Services or other cloud providers
Familiarity with industry-standard Big Data technologies from the Apache Hadoop environment
An interest in data science-related infrastructure

We offer:
Possibility to work in a global product company with talented people
Competitive salary according to the qualifications
21-day paid vacation, 5 days paid sick leave
Relocation package
Free English courses
Regular corporate events and team buildings
Lunch compensation
Gym compensation.

About Gameloft

Компания Gameloft S.A. основана в 2000 году и зарекомендовала себя как крупнейший производитель и издатель игр для смартфонов и планшетов. Каждую секунду 3 наших игры скачивают в более чем 100 странах мира. Многие игры пересекли миллионную отметку в количестве проданных установок. Студии Gameloft расположены на всех континентах, в 40 странах мира. Главный офис компании находится в Париже. Все этапы разработки игры выполняются без аутсорсинга, in-house.

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