Data Engineer

KEY RESPONSIBILITIES:

• Design, develop, and maintain ETL/ELT processes.
• Work with large-scale data processing and storage solutions.
• Build and optimize data pipelines to support analytics and reporting.
• Ensure data quality, integrity, and performance optimization.
• Collaborate with data analysts and software engineers to deliver high-quality data solutions.

 REQUIREMENTS:

• Experience with ClickHouse or Snowflake, NiFi or Airflow, Kafka or RabbitMQ
• Strong programming skills in Python.
• Experience with LINUX
• Proficiency in SQL and experience with at least one relational database (PostgreSQL, MySQL, MSSQL).
• Understanding of NoSQL databases.
• Solid knowledge of ETL/ELT processes and data warehousing (DWH) concepts.
• Experience with data modeling and performance optimization.

Nice to Have:

• Knowledge of CI/CD for data engineering.
• Experience in real-time data streaming and processing.

WE OFFER:

• Great opportunity to take part in the development of a growth- and innovation-driven company and build its future.
• Dynamic work in a rapidly growing international company with personal development possibilities.
• Professional team with various international backgrounds to collaborate.
• Opportunity for career development.
• Wide benefits package: annual company performance bonus, extra day off on your birthday, dedicated days off for your physical and mental health, additional vacation days depending on the length of employment, health insurance policy, wellness and team-building events, dedicated budget for your training and development, paid online consultations with certified therapists and so much more!