Experienced Data Engineer - Streaming Platform
Tasks
- Build real-time data pipelines
- Deploy and manage streaming workloads on Kubernetes
- Develop stream processing applications
- Ensure low-latency fault-tolerant processing
- Implement monitoring, logging, and alerting
- Improve data infrastructure performance cost efficiency scalability
- Integrate OpenRTB signals
- Maintain streaming data pipelines
- Manage event schemas and data versioning
- Optimize real time bid processing
- Process bid request impression click user engagement data
Perks/Benefits
- Child day care
- Gym membership
- Lunch vouchers
- Premium healthcare
- Relocation support
- Remote days
- Unlimited vacation
- Visa support
- Wellness activities
Skills/Tech-stack
Amazon Kinesis | Apache Beam | Apache Flink | Apache Pulsar | Avro | CI/CD | Cloud Pub/Sub | Data Pipelines | Docker | Event Streaming | Fault-tolerant | Fault-tolerant systems | Google Cloud | Google Cloud Pub/Sub | Helm | High Throughput | Java | Kafka | Kubernetes | Low Latency | OpenRTB | Protobuf | Pub/Sub | Python | Real Time | Real-time Data | Real-time data pipelines | Scala | Spark Structured Streaming | Structured Streaming | Terraform
Education
N/A
Roles
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