data engineer for real-time analytics

No description

• Design, develop, maintain, and optimize data pipelines and data processing solutions;
• Develop, modernize, and migrate data pipelines, including complex data migration projects;
• Work with streaming and event-driven technologies, including Azure Event Hubs and Kafka;
• Implement real-time data processing and analytics solutions using Apache Druid and Apache Storm;
• Work with large-scale data processing and distributed data systems;
• Apply data architecture, data integration, transformation, and data quality principles.

• 4–5+ Years of relevant professional experience as a Data Engineer;
• Strong hands-on experience with Databricks and Python;
• Experience with streaming and event-driven technologies, particularly Azure Event Hubs and Kafka;
• Experience with real-time data processing and analytics technologies, including Apache Druid and Apache Storm;
• Experience with cloud-based data platforms, ideally within the Microsoft Azure ecosystem;
• Bachelor's degree in Electrical Engineering, Computer Science, Software Engineering, or another relevant technical field;
• English proficiency at B2 level or higher;
• Willingness to occasionally travel to Budapest;
• Nice to have: Knowledge of Java, experience with web analytics, familiarity with CI/CD pipelines, DevOps and DataOps practices, experience with cloud and data platform migration projects, experience working in Agile environments, particularly Scrum.

• Long-term position;
• Occasional business trips to Budapest.