Data engineer in cloud

Cloudfide; United States; Remoto; USD 52.000 - 78.000; Tempo pieno

Vantaggi offerti da questo lavoro

Top e‑learning platforms access

Development budget

Remote-first

Flexible hours

Open culture

Integration trips

Descrizione del lavoro

Cloudfide ищет младшего data engineer для работы над современными облачными решениями и большими данными. Вы будете помогать в разработке конвейеров данных, моделях и оптимизации процессов в Azure, сотрудничать с клиентами и инженерами.

Требуется базовый опыт, знание Python и SQL, понимание ETL/ELT и моделирования данных. Работа удаленная, гибкий график, обучение, возможности карьерного роста.

Competenze

• Минимум 6 месяцев коммерческого опыта в data engineering или смежной роли.
• Практический опыт с преобразованием данных, SQL, ETL/ELT, облачными инструментами и скриптованием.
• Знакомство с хотя бы одной облачной платформой; Azure предпочтителен; AWS/GCP приветствуются.
• Знание Python для обработки данных.
• Твердое понимание SQL и реляционных баз данных.
• Общее понимание моделирования данных и концепций ETL/ELT.

Mansioni

• Помощь в построении и поддержке конвейеров данных и моделей в облачных средах (Azure в приоритете).
• Содействие внедрению лучших практик data engineering: качество, документация, тестирование, мониторинг.
• Работа с старшими инженерами над задачами по преобразованию, обработке и оптимизации данных.
• Участие в обсуждениях с клиентами и внутренними командами для сбора требований.
• Разработка устойчивых, масштабируемых облачных решений для данных.

Conoscenze

Data pipeline development

Analytical thinking

Communication

Strumenti

Azure

AWS

GCP

Python

SQL

Databricks

Spark

PySpark

Airflow

Azure DevOps

GitHub Actions

Descrizione del lavoro

Описание:

At Cloudfide, you’ll start your data engineering career inside real, large-scale projects - not shadow work. We build cloud-native data platforms, process massive datasets, and work with international clients, including Fortune 500 and leading retail organizations. You’ll work with modern cloud technologies, learn from outstanding engineers, and contribute to projects involving Big Data, AI/ML, Databricks, and advanced data lakehouse architectures. We’re growing fast - and you can grow with us. As a Junior Data Engineer, you will support the development of modern cloud data solutions, collaborate with experienced engineers, and gain exposure to the full lifecycle of data engineering projects.

Задачи:

Assisting in building and maintaining data pipelines and data models in cloud environments (Azure is our main stack). Supporting the implementation of data engineering best practices (quality checks, documentation, testing, monitoring). Working with senior engineers on tasks related to data transformation, processing, and optimization. Participating in discussions with clients and internal teams to understand requirements. Contributing to the development of robust, scalable cloud data solutions. Learning continuously - new technologies, cloud services, frameworks, and project methodologies.

Требования:

Minimum 6 months of commercial experience related to data engineering or a closely related technical data role. Hands‑on experience with data‑related work (e.g., data transformation, SQL development, ETL, cloud tools, scripting). Familiarity with at least one cloud platform - Azure preferred; AWS/GCP also welcome. Knowledge of Python for data processing tasks. Solid understanding of SQL and relational databases. General awareness of data modeling, ETL/ELT concepts, and cloud environments. Curiosity, willingness to learn, and openness to working in dynamic, evolving data projects. Strong communication, problem‑solving attitude, and a proactive mindset. Будет плюсом: Exposure to Databricks, Spark, or PySpark; Familiarity with Airflow or other orchestration tools; Experience with CI/CD (Azure DevOps, GitHub Actions); Any experience in cloud‑based analytics or data pipelines

Условия:

Access to top e‑learning platforms and development budget Real ownership opportunities - expand your scope, drive solutions, lead initiatives; most of our Leads are promoted internally Long‑term collaboration via B2B/UZ - we value lasting partnerships Remote‑first Flexible hours Work alongside exceptional engineers and experts Flat structure where every person matters and influences the company Full‑company integration trips (including international ones) Team‑level integration budgets Open, supportive, and collaborative culture