What does a streaming data engineer do?

A Streaming Data Engineer designs, builds, and maintains real-time data pipelines that process continuous data streams. They work with technologies like Apache Kafka, Apache Flink, or Spark Streaming to handle large-scale data ingestion and transformation. Their role involves ensuring low-latency data processing, optimizing system performance, and integrating with data lakes or warehouses. They collaborate with data scientists, analysts, and DevOps teams to enable real-time analytics and decision-making.