Overview:

We are looking for a Data Engineer with a strong focus on real-time data streaming and analytics. This role supports the development of low-latency data systems that power real-time decision-making.

Responsibilities:

• Design and maintain real-time data processing systems
• Develop and manage Kafka streaming pipelines and Flink/Spark Streaming jobs
• Implement monitoring and alerting for data quality and pipeline performance
• Work with DevOps to deploy scalable, reliable systems

Requirements:

• Strong programming skills in Scala, Java, or Python
• 2+ years of experience working with Kafka, Flink, or similar streaming platforms
• Experience with real-time analytics in production environments
• Solid understanding of event-driven architecture and messaging systems

Familiarity with Kubernetes, CI/CD, and cloud platforms