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 - Junior

juniorhybridBengaluru, PLСкор 60/1003д назад
Аналитика рынка
📊 Data Engineer: зарплаты и спрос на рынке
Стек
DocumentationSecurityAPI (Application Programming Interface)PythonDataStage (ETL)ETLTest-Driven Development (TDD)CI/CDAtlassian JIRACloudawsci/cd
Показать компанию и ссылку
Бесплатно. Вход по почте.
Откликнуться
Загрузите резюме — мы свяжем вас с работодателем напрямую через нашу базу.
Отправить резюме →
Описание
Summary The main purpose of the Data Engineer role is to contribute to the Core Engineering team by developing scalable and maintainable data platforms that enhance the decision-making process and support technological advancements within the organization. Main Responsibilities Collaborate with analysts, architects, and stakeholders to understand requirements and produce maintainable solutions. Analyse raw data against requirements and provide early input for JIRA tickets, along with design and development activities. Design, develop, and maintain scalable, robust data pipelines and workflows to support data ingestion, transformation, and storage. Architect and optimize data models, ELT processes, and data architecture to ensure efficiency, quality, and security. Lead initiatives to improve existing data infrastructure, including migration, automation, and performance tuning. Monitor data quality and pipeline performance, troubleshoot issues, and minimize downtime. Ensure compliance with data governance, security policies, and privacy standards. Collaborate within a multidisciplinary engineering squad and provide technical guidance where necessary. Write and maintain documentation and operational runbooks. Support and improve the deployment processes. Key Requirements Strong analytical skills in working with both structured & unstructured datasets. In-depth knowledge of data modelling, data architecture, and ETL/ELT design principles. Expert-level proficiency in SQL. Proven
Полное описание, компания и ссылка на вакансию — после входа. Войти
Контакты работодателя (email/phone/telegram) скрыты из публичного превью — отправьте резюме, чтобы мы связали вас напрямую.
Срочный вопрос? Напишите @termdocs