Мы используем технические cookie и статистику посещений: Яндекс Метрику и собственный обезличенный журнал Zorky (cookie zk_aid). Не собираем содержимое форм, текст поиска и полный IP; данные не продаём. Отказаться можно кнопкой ниже, а также через Global Privacy Control или Do Not Track в браузере. Подробнее о cookie и статистике.
Zorky CRMZorky CRM
EN|RU
@termdocs
← Все вакансии

Data Engineer (Senior Associate), Consulting

senior5,500 SGD · период не указанSingapore, SGСкор 72.5/1002нед назад
Аналитика рынка
📊 Data Engineer: зарплаты и спрос на рынке
Стек
DesignTroubleshootingReliability AnalysisData PipelineImplementation of Best PracticesWorkflow SoftwareTransformationrequirements from stakeholdersData EngineeringDocument ProcessingMonitor HardwareData Model Design
Откликнуться
Загрузите резюме — мы свяжем вас с работодателем напрямую через нашу базу.
Отправить резюме →
Описание
At EY, we develop you with future-focused skills and equip you with world-class experiences. We empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. We work together across our full spectrum of services and skills powered by technology and AI, so that business, people and the planet can thrive together. We’re all in, are you? Join EY and shape your future with confidence. The Opportunity We are seeking a Data Engineer to design, build, and optimize scalable data solutions that support business and operational objectives. The role combines advanced data engineering expertise with strong business analysis capabilities to translate business requirements into effective technical solutions. Your Key Responsibilities Design, build, and maintain scalable data pipelines and ETL/ELT processes across cloud data platforms. Engage business stakeholders to gather requirements, document processes, and translate business needs into technical data solutions. Develop and optimize data models, transformations, and workflows using Python and SQL. Collaborate with analytics and reporting teams to ensure data is structured and accessible for downstream consumption. Monitor, troubleshoot, and improve the performance, reliability, and scalability of data pipelines and storage solutions. Contribute to technical best practices, standards, and continuous improvement initiatives. To qualify for the role, you m
Контакты работодателя (email/phone/telegram) скрыты из публичного превью — отправьте резюме, чтобы мы связали вас напрямую.
Срочный вопрос? Напишите @termdocs