Senior Data Engineer (Real-Time Data Processing & Streaming)

📋 Description

• Design, develop, and maintain scalable real-time and near-real-time data processing pipelines.
• Implement streaming data processing solutions using Apache Kafka, Apache Flink, and Apache Spark.
• Develop and maintain Java-based services and integration components for processing data from
• Implement complex data transformations, mappings, validations, and enrichments.
• Build and maintain event-driven integrations using Kafka, Kafka Streams, Kafka Connect, and
• Ensure reliable data delivery to downstream consumers, applications, and storage systems.

🎯 Requirements

• Strong professional experience in Data Engineering, focused on streaming data processing and
• Advanced programming skills in Java (11+) with Spring framework.
• Hands-on experience with Apache Kafka (Kafka Streams, Kafka Connect, integrations).
• Practical experience with Apache Flink, Apache Spark, or Spark Streaming.
• Solid understanding of event-driven architectures, asynchronous communication, and AMQP.
• Experience designing data transformation, enrichment, and integration pipelines.

🎁 Benefits

• Competitive salary package
• Share plan
• Company performance bonuses
• Value-based recognition awards
• Referral bonus
• Career coaching