Senior Data Engineer (Flink)

Builds and runs real time streaming pipelines, keeping latency low and jobs recoverable at high volume. - Strong hands on Apache Flink across DataStream API and Flink SQL. - Event time processing, checkpointing, savepoints, and state management in production. - High volume Kafka streaming. - Data modelling for analytics and streaming into a lakehouse. - Monitors pipeline health and handles recovery when jobs fail. Requirements Requirements pache Flink (DataStream, Flink SQL), Kafka, Java, Scala, Python, SQL, Docker, Kubernetes - Strong hands-on experience with Apache Flink, including DataStream API and Flink SQL. - Experience with high-volume Kafka streaming and real-time data processing. - Strong knowledge of event time processing, checkpointing, savepoints, and state management. - Experience with data modelling for analytics and streaming into a lakehouse. - Experience monitoring pipeline health and handling job recovery and failures. - Apache Iceberg or other open table formats. - Airflow. - On premises or self managed cluster experience.