Data Engineer

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 Julia.
• 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.