We offer:
Manage DWH performance and cost;

1+ years of experience as a data engineer or backend developer;
Salary in USD. Competitive salary paid monthly;
Proven experience in building data
integration pipelines and extensive
work with APIs;
Growing income. Salary matrix allows you to increase your income every year;
Expert environment. The most advanced cases, wide range of professionals and high level of expertise;
Knowledge of CLI, Python/Java, SQL;

Wellness benefits. Health insurance, dentist services, yoga classes, relax room, fitness coverage, eco initiatives;
Conferences and other events offline/online. You can take part in any significant event you or team choose;

Familiarity with cloud databases (BigQuery/Redshift/Snowflake);
Familiarity with cloud platforms
(Google Cloud / AWS etc.);

English classes. Classes are provided by professional teachers each day in the office or online;
Building and Scheduling Data Pipelines;
Integrate data from external sources to the DWH via API;

Organize data and tune queries for optimal performance;

Build alerts and monitor existing and new pipelines;

Executing prediction engine in real time;

Build Object Oriented or Functional Programming, scalable and high quality code.

Familiarity with Machine Learning pipelines;

English - Advanced;

Familiarity with Kafka.

Horizontal moves between teams. You are free to define your professional future;
Work-from-home option availability. Hybrid options for being able of working either from office, or from home;
Well balanced work conditions. Start and day ending time are flexible upun agreements with your team lead;
Relocation package. From anywhere around Russia and CIS we take expenses to bring you onboard;
Complimentary food in the office. Diverse provision of food and beverages for each and any taste;
Challenges and sport activities. Football, basketball, volleyball, walking, bicycle, running, travel club;
Company parties and inhouse games. We make the best parties and support a lot of initiatives for internal games.
Our stack: Python, SQL, Machine Learning, Docker, AWS.