Data Engineer (BI, Big Data)

What you will do:

● Development and support of applications using .Net (BI, Big Data);

● Designing, constructing and maintaining large-scale data processing systems. Collecting data from various data sources;

● Handling raw data using data processing transformations and algorithms to create predefined data structures. Depositing the results into a data warehouse or data lake for downstream processing;

● 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;

● Discussing design solutions both with the team and directly with customers.


● 2-3+ years of production experience in BI, Big Data;

● Background with .Net;

● Experience in Microsoft Power BI / Tableau installation, configuration, authentication, and role-based authorization;

● Experience in SSIS / SSRS / SSAS, ETL, packages creation, deployment and maintenance;

● Experience with Hadoop, Spark, Hive;

● Experience in working with SQL and NoSQL databases (MongoDB / ClickHouse / ScyllaDB etc);

● Striving for technical growth and self-education, proactivity;

● Confident English (at least B1).

Would be a plus:

● Experience in building application architecture and understanding of basic architectural approaches;

● Experience with Docker, Kubernetes, Azure / AWS.

The mail stack for this vacancy:

BI, BigData, .Net, ETL, Hadoop, SQL.

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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