Если вы раньше входили через Google, сбросьте пароль для своей Gmail-почты через кнопку «Забыли пароль?» на экране входа. Затем войдите по email и новому паролю.
Если аккаунта ещё нет, зарегистрируйтесь с Gmail-почтой — после подтверждения почты мы предложим задать пароль.
Что нового
Загружаю обновления...
Что нового
Загружаю обновления...
Работа найдется быстрее с подпискойКандидат найдётся быстрее с подпиской
Чтобы адаптировать резюме под вакансию или составить сопроводительное письмо, загрузите резюме
описание
BETWEEN Group provides IT and engineering career opportunities and develops technology solutions for leading clients in Infrastructure, Cloud, Software, Project Management, and other areas.
задачи
Design, develop, and maintain secure, scalable, high-performance data architectures;
Build, optimize, and maintain data pipelines for structured and unstructured information;
Develop ETL processes to extract, transform, and integrate data from multiple sources;
Design data models and contribute to the evolution of the company’s data warehouse;
Ensure data quality and integrity through validation, cleansing, and monitoring processes;
Investigate data-related incidents, perform root cause analysis, and implement corrective actions;
Collaborate with multidisciplinary teams to define reporting and analytics requirements;
Participate in projects involving Machine Learning, Data Products, LLM integrations, and enterprise Generative Artificial Intelligence applications;
Coordinate the development, testing, and deployment of data solutions;
Provide technical guidance and mentoring to junior profiles when necessary.
требования
Degree or Master’s degree in Computer Science, Software Engineering, Mathematics, Statistics, or a related field;
4–5 Years of experience in Data Engineering, Data Analytics, Data Modeling, or related positions;
Strong experience designing and developing ETL processes;
Advanced Python and SQL skills;
Practical experience working with Microsoft Azure;
Knowledge of Apache Spark and Big Data technologies;
Experience working in Agile environments;
Experience using Power BI;
Experience with Databricks;
High level of English;
Nice to have: Experience with Microsoft Fabric, knowledge of Machine Learning projects, experience with LLM integration projects and enterprise Generative Artificial Intelligence applications.
условия
Flexible working hours;
International and collaborative environment;
Modern cloud technology projects;
Multidisciplinary Agile teams;
Company-provided laptop and peripherals;
Private medical insurance;
Company-funded training and development;
Personalized support from the Talent team and monthly follow-up meetings;
Flexible benefits with tax advantages for meals, transport, and childcare;
Access to the Wellhub platform;
Exclusive discounts through the Inspiring Benefits Club;