Engineer

• Design, develop, and maintain real-time data streaming pipelines using Kafka, Flink, and Spark Streaming.
• Architect event-driven and microservices-based solutions for real-time analytics and processing.
• Implement data ingestion, transformation, and enrichment workflows across distributed systems.
• Optimize performance and scalability of streaming jobs for high-throughput, low-latency environments.
• Ensure data quality, governance, and fault tolerance within the streaming infrastructure.
• Integrate streaming solutions with data warehouses, data lakes, and cloud platforms (AWS, Azure, GCP).
• Collaborate with data engineers, data scientists, and application teams to deliver business-critical real-time insights.
• Monitor, troubleshoot, and improve the reliability and resilience of streaming systems.
• Participate in system design, code reviews, and best practices development.

Real-time Data Streaming Engineer, Kafka, Flink, Spark Streaming

Senior Consulting Engineer – EMEA

Go To Market Engineer