з/п не указана
Москва
От 1 года до 3 лет
We are looking for a qualified Data Engineer to join our team. Your main tasks include ETL, automation, data pipelines, and BI preparation. You should have strong proficiency in Python and SQL, as well as experience with automation tools such as Apache Airflow.
Responsibilities:
- Develop scripts for data extraction and transformation using Python.
- Write advanced SQL queries (e.g., nested queries, joins, window functions).
- Create and maintain DAGs in Apache Airflow for task automation and data processing.
- Build and optimize data pipelines for BI analytics and reporting.
- Optimize and debug existing workflows and scripts.
Qualifications:
- At least 2 years of experience as a Data Engineer or Python Developer.
- A degree in Computer Science or related fields.
- Strong knowledge of SQL, including nested queries, joins, and window functions.
- Knowledge of Docker for building and managing containerized applications.
- ETL/ELT expertise.
- Experience with Apache Airflow (DAGs, configuration, management).
- Experience with PostgreSQL and ClickHouse.
- Experience with BI tools (e.g., Tableau, DataLens, Superset).
- Proficiency with version control systems (Git).
Nice to have:
- Experience with Zeppelin.
- Experience with Spark.
- Basic finance knowledge (crypto markets preferred).
We offer:
- Work in a modern international technology company without bureaucracy, legacy systems, or technical debt.
- Excellent opportunities for professional growth and self-realization.
- Remote work from anywhere in the world, with a flexible schedule.
- Compensation for health insurance, sports activities, and professional training.
