Data Engineer

Position

We're looking for a Senior Data Engineer with a strong Python and SQL background who can design reliable data pipelines, work with large-scale data, and make technical decisions independently.

Responsibilities

• Build and maintain data pipelines and DAG workflows in Airflow
• Prepare and transform data for analytics and business use cases
• Work with ClickHouse and MySQL, optimize queries, and analyze query execution plans
• Integrate with partner services and external data sources via APIs and FTP
• Design and develop microservices for data processing
• Work with high-load systems processing terabytes of data
• Contribute to architecture and propose technical solutions to improve performance and scalability

Requirements

• 5+ years of professional Python development experience
• Strong SQL skills and hands-on experience with query optimization
• Experience with ClickHouse and/or MySQL
• Experience designing Python frameworks and libraries, as well as profiling and performance optimization
• Experience developing and working with OLAP systems
• Hands-on experience with Airflow, Pandas, Kafka and/or RabbitMQ
• Experience retrieving and processing data via APIs and FTP
• Experience with Docker and Kubernetes
• Ability to independently evaluate and choose technical solutions

Benefits

• The opportunity to work on high-load products processing terabytes of data and serving 100M+ users worldwide
• Flexible ways of working: remote, hybrid, or from our office
• A high level of autonomy and the ability to influence technical decisions
• A fully equipped workspace and all the hardware you need
• Comprehensive medical insurance, including dental coverage, after the probation period
• Support for sports, English lessons, and therapy sessions
• Continuous learning and knowledge sharing within the team
• Access to our corporate library, team events, workshops, and other internal activities