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Data Lead

Position Summary

Through emma, we develop a platform for creation and management of multicloud virtual environments. The platform allows its users to deploy virtual servers through an integrated interface and do so in any location that has a data center of one of our partners (these are cloud titans, such as AWS, Azure, Alibaba Cloud, GCP as well as local cloud services providers, such as Artmotion, Leaseweb, Baltneta, CorpSoft24, etc.), i.e. all around the world. Among the management capabilities of virtual computing power created is direct control of resources status, integration into networks, analytics of resources usage broken down by funds spent, predictive analysis of infrastructure status, budgets and teams, automatic deployment of software and cross-provider infrastructure migration.

There is a lot we know how to do, but we’ve got even more in store for the platform’s development, and that is why we are expanding our product analytics team: to advance even faster.

  • Excellent knowledge of SQL;
  • Experience of building DWH;
  • Data collection, analysis and interpretation skills;
  • Experience of using specialized ETL tools (Informatica PC, Pentaho DI, Apache Airflow);
  • Experience with BI systems (Tableau/Power BI/Sisense, Qlik);
  • Experience of setting up data supply processes and managing a department of professionals (or willingness to gain such experience);
  • Experience of working with Linux and no fear of the command line;
  • Knowledge of English sufficient to read technical documentation.

Non-essential skills that we would be happy to know you have:

  • Experience of building DWH and incorporating ETL processes into CI/CD pipelines;
  • Understanding how column-oriented DBMS work;
  • Setting up a DWH using ClickHouse;
  • Skills in writing scripts for axillary automation of processes;
  • Education and/or commercial experience in computational mathematics is a huge advantage;
  • Experience with large-scale cloud services;
  • Knowledge of English sufficient to communicate with an English-speaking team of technical staff.

Analytics Department develops the platform’s part that provides the client with analytical data about their virtual infrastructure: dashboards with historical data featuring real-time utilization of virtual resources and predictive analytics on infrastructure status. The Department’s tasks also include developing automatic generation of client recommendations, collecting and displaying data on cloud providers' actual SLA and generating dashboard images to be sent to the client in case there is notification about an event they want to analyze.

The role of Data Lead suggests:

  • Building a full-cycle architecture for supplying analytical data to clients;
  • Providing expert technical evaluation along the data processing chain (ETL — DWH — BI);
  • Working closely with the technical support team to integrate the data collection and warehousing processes into the existing CI/CD process;
  • Developing data-processing scripts for extrapolating data;
  • Forming a DWH team, planning and task setting, onboarding and planning training for DWH employees.
  • Competitive salary matching your skills and experience + constant growth. The precise salary is to be negotiated during an interview;
  • Five-day workweek with the freedom to set your own office hours (within reason);
  • Work experience in an international company with a set of interesting tasks and challenges;
  • Professional growth and career development;
  • Corporate-sponsored English courses;
  • A comfortable office in Novosibirsk or remote work;
  • Allocated budget for further training and certification;
  • Employment under the Labor Code of the Russian Federation;
  • Freedom of decision-making within your responsibility;
  • Open atmosphere, participation in product development decisions;
  • Participation in conferences and thematic events is encouraged and sponsored;
  • Optional business trips, home and abroad.
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