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
BizAway provides travel management services and solutions that help companies improve their business travel management. It focuses on sustainability and uses technology-driven, innovative processes.
задачи
Design, build, and maintain data architecture that supports business needs
Implement scalable and cost-effective data pipelines and ETL flows for structured and unstructured data
Work with Product and Engineering teams to ensure data quality, reliability, and availability
Collaborate on data design guidelines and event instrumentation strategies for consistent and reliable data collection
Own ETL processes and contribute to data models supporting analytics, reporting, and AI/ML initiatives
Help ensure data governance, security, compliance, and comprehensive documentation
Work with modern AI development workflows and support the evolution of data products and AI-driven initiatives
требования
3–5 Years of experience as a Data Engineer or in a similar role
Experience in data modelling and implementing OLTP / OLAP systems
Hands-on experience with cloud-based data platforms
Extensive knowledge of data architecture principles
Proficiency in SQL, Python, and Spark
Experience with SQL and NoSQL databases
Familiarity with CI/CD processes and IaC tools
English proficiency, written and spoken, minimum B2
Будет плюсом: AWS, PostgreSQL, MongoDB, Terraform, a software engineering background, a Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field, travel industry or similar sector experience, data modelling in Qlik Cloud or other BI platforms, data science and machine learning project experience
условия
Permanent contract
Working hours: 40 hours per week, Monday to Friday
Equity in the company, including a stock options plan
Salary is described as attractive compensation, but no amount is specified