Senior Data Engineer (Flink)
SSC HR Solutions Cairo, Cairo, Egypt
Human Resources Services · 51-200 employees
About the role
Build and maintain high-volume, real-time streaming pipelines with a focus on low latency and job recoverability. Monitor pipeline health and manage data modeling for analytics and lakehouse integration.
What they look for
Requirements
Requires strong hands-on experience with Apache Flink, Kafka, and modern data engineering tools like Docker and Kubernetes. Candidates must have expertise in event time processing, state management, and data modeling.
Full description
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
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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