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Data (Python) Engineer

What you will do:

Development and support of applications using big data (python);
Designing, constructing and maintaining large-scale data processing systems;
Implementing technical processes and business logic to transform collected data into meaningful and valuable information;
Evaluating, comparing and improving data pipelines;
Preparing automated data pipelines to transform and feed the data into dev, QA and production environments;
Development of technical solutions, participation in the design of the applications architecture;
Optimization of operation speed;
Work closely both with the team and directly with customers to convert business problems to data science tasks;
Deliver full-cycle data science product.

Requirements:

Mathematical background, experience in solving applied problems using Deep Learning technologies;
Proficiency in modern Python language;
Ability to work with Data;
Experience in working with SQL and NoSQL databases;
Experience in ETL packages creation, deployment and maintenance;
Experience in BI / Tableau, Hadoop;
Good English (at least B2).

Would be a plus:

Experience in building application architecture and understanding of basic architectural approaches;
Experience with Docker, Kubernetes, Azure / AWS, Metabase, Superset, Bitbucket, MLFlow, Airflow, Grafana, TensorFlow, PyTorch.

The main stack for this vacancy:

Python, SQL, NoSQL, BI, ETL, Data, Hadoop.

What we offer:

Unlimited opportunities for professional growth and self-realization;
Work in a fast-growing team of professionals, knowledge sharing;
Opportunity to apply the accumulated experience, implement your own ideas and influence the development of the company;
Clear company structure, absence of bureaucracy and micromanagement;
Flexible schedule, ability to work both in the office and remotely;
Official employment and salary payment at the current dollar exchange rate, paid sick leave and vacation;
25 calendar days of annual vacation;
5 sick-days per year;
Corporate English classes online/offline, corporate events, gifts for birthday, work anniversary and other memorable days for each employee.

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