About The Position

Builds and runs real time streaming pipelines, keeping latency low and jobs recoverable at high volume. Monitors pipeline health and handles recovery when jobs fail.

Requirements

  • 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.
  • Apache 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.

Nice To Haves

  • Apache Iceberg or other open table formats.
  • Airflow.
  • On premises or self managed cluster experience.

Responsibilities

  • Builds and runs real time streaming pipelines, keeping latency low and jobs recoverable at high volume.
  • Monitors pipeline health and handles recovery when jobs fail.
  • Data modelling for analytics and streaming into a lakehouse.
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