Data Engineer

📋 Description Build and operate scalable batch and streaming data pipelines (Kafka, Spark) in production. Design data quality and governance including validation, lineage, and monitoring. Develop observability and reliability tooling using metrics, logs, traces, CI/CD. Contribute to robust data architecture with reusable components and clean design. Collaborate with Product/Engineering/Analytics to turn requirements into scalable data solutions. Participate in Agile delivery with planning, estimation, reviews, and retrospectives. 🎯 Requirements Data-focused software engineering with production experience on stateful, large-scale data systems. Experience with streaming tech: Kafka, Kafka Streams, Flink; Avro and stateful processing. Programming in Java, Scala, Python, or similar (language flexible). Strong understanding of distributed, event-driven architectures. Strong debugging and performance optimization in data-intensive systems. Ownership, accountability, proactive, execution-focused mindset.