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Data Engineer

Bell Integrator • Russian: C1 • Software Testing & QA • Systems Integrators • Python • SQL • ETL/ELT • 5 days ago
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Salary
≈ $24k – $61k per year (Estimated)
Location
In office (Moscow)

Confirmed on the employer's own hiring board on Oct 26, 2026. First seen by Alion on Oct 21, 2026. Bell Integrator scores B on the Alion truth index.

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Profile match

Bell Integrator

Bell Integrator is an information technology services company that supplies software engineering, systems integration and testing teams to large enterprises, working mainly with banks, telecommunications operators and retail groups. Its consultants handle custom development, enterprise system integration, quality assurance, data platform work and infrastructure operations, staffed as long-running teams inside client organisations. The company is headquartered in Moscow, employs specialists across Russia and neighbouring markets, and advertises a continuous stream of engineering vacancies through the local recruitment platforms its clients and candidates use.
bellintegrator.ru • HQ: Moscow, Russia • IT Staffing & Staff Augmentation • Software Testing & QA • Systems Integrators • Custom Software Development • IT Outsourcing & Dedicated Teams • 201-500 employees
Tech stack of Bell Integrator

По вакансии офисный формат работы в Москве

Bell Integrator - аккредитованная ИТ-компания и являемся частью большой семьи ГК Softline. Bell Integrator активно реализует проекты по всей России, среди наших заказчиков - крупнейшие системообразующие финансовые, телеком и ритейл компании страны.

Требования:

SQL на продвинутом уровне (аналитические функции, подзапросы, хранимые процедуры, оптимизация производительности).

Cтек технологий Big Data (Hadoop, Spark, Hive/Impala) и любой СУБД.

Знание понятий и концепций DWH

Python (PySpark, Pandas, NumPy, REST API);

Airflow/Dagster/Oozie

BitBucketGit

Bash

Обязанности:

Загрузка, очистка и трансформация больших объемов данных из различных источников (RDBMS, Hadoop, плоские файлы) в рабочую область (платформы Hadoop)

Проектирование и разработка аналитических витрин данных

Проектирование и разработка коннекторов для ETL процессов

Мониторинг и оптимизация процессов загрузки, преобразования данных и сборки витрин

Разработка, поддержка и оптимизация инфраструктуры и внутренних сервисов для обработки больших объемов данных;

Разработка инструментов для автоматизации рутинных задач, связанных с обработкой данных

Условия:

Возможность профессионального и карьерного роста в компании

Возможность поучаствовать в разных проектах

Оформление в соответствии с ТК РФ

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