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Senior Data Engineer (Flink)

Posted a month ago
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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.

 

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