Data Engineer

Primary Responsibilities:

• Organizing and maintaining real-time data collection, processing, and analysis;
• Designing and implementing automated reporting systems for business metric monitoring;
• Configuring and optimizing data pipelines (ETL processes);
• Working with data visualization tools (e.g., Grafana) to create clear and informative dashboards;
• Optimizing high-load analytical queries;
• Developing and maintaining predictive models and machine learning; algorithms for data analysis (if required).

Core Skills:

• Strong knowledge of SQL with experience in query optimization for large datasets;
• Hands-on experience with data pipeline orchestration tools;
• Proficiency in data visualization tools (e.g., Grafana, Power BI, Tableau);
• Experience working with real-time analytics and data warehouses;
• Expertise in big data processing and ETL optimization;
• Proficiency in data processing programming languages (e.g., Python, Scala, or SQL);
• Experience with Data Bricks (preferred).

Additional Skills:

• Understanding of machine learning fundamentals and experience with libraries such as scikit-learn, TensorFlow, or PyTorch (a plus);
• Experience working with cloud platforms (AWS, GCP) to deploy analytical solutions;
• Understanding of CI/CD processes for automating data analytics infrastructure.

Language Requirements:

• Intermediate English proficiency for working with technical documentation and communicating with external service support.

We offer:

• An interesting project and non-trivial tasks that will allow us to show your professional attitude and creativity;
• Friendly team;
• Comfortable working schedule and working conditions;
• Opportunity to work remotely as well as in an office located in the city centre;
• Stable, competitive salary;
• Paid vacation and sick leaves;
• Opportunity for professional growth and career development;
• English, paid professional courses, coffee/fruits and other pluses :)