Description:

Builds and runs real-time streaming pipelines with low latency and high recoverability.
Strong hands-on experience with Apache Flink, including DataStream API and Flink SQL.
Involves event time processing, checkpointing, savepoints, and state management in production.
Works with high-volume Kafka streaming and data modeling for analytics into a lakehouse.
Monitors pipeline health and manages recovery when jobs fail.

Requirements:

Strong hands-on experience with Apache Flink (DataStream, Flink SQL).
Experience with high-volume Kafka streaming and real-time data processing.
Knowledge of event time processing, checkpointing, savepoints, and state management.
Experience in data modeling for analytics and streaming into a lakehouse.
Familiarity with monitoring pipeline health and handling job recovery.
Knowledge of Apache Iceberg or other open table formats.
Experience with Airflow.
On-premises or self-managed cluster experience.

Opportunity to work with cutting-edge technologies in real-time data processing.
Engage in a dynamic and collaborative work environment.

Skills