Live opening · Posted 11 days ago
At a glance
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About the role
Description supplied by the original job listing.
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
Work arrangement
No
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