Data Engineer

Coordinate the work of department staff and projects, and manage task assignments.

Execute, optimize, and improve ETL (Extract, Transform, Load) processes.

Develop SQL queries, analyze data, generate reports, and create visualizations.

Collect and analyze structured and statistical data.

Extract and validate data from internal and external systems, and participate in data research activities.

Grant users access rights to BI systems and regularly monitor the systems.

Implement Big Data technologies and manage data processing and administration.

• Higher education degree in Information Technology, Computer Science, or a related field;
• Minimum 1 year of work experience as a Data Engineer;
• Experience working with BI tools (Power BI, Tableau, etc.);
• Knowledge and practical skills in ETL, Data Warehouse, and OLAP systems;
• Experience working with Big Data technologies and in-depth knowledge of these technologies;
• Strong analytical thinking, effective problem-solving, and communication skills;
• Ability to collaborate and coordinate effectively within a team.

Work schedule: 5 days a week, 9:00 AM – 6:00 PM.