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Senior Data Engineer (Flink)

SSC HR Solutions

WorkableRemote
Location
Cairo, Cairo Governorate, Egypt, Egypt
Type
Not specified
Salary
Salary not specified
Posted
17 Sep 2026
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.
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.