Experienced Data Engineer - Streaming Platform
Tasks
- Build real-time data pipelines
- Continuously improve data infrastructure performance and cost
- Deploy and manage workloads using Kubernetes
- Develop scalable stream processing solutions
- Ensure high-throughput low-latency fault-tolerant processing
- Implement monitoring, logging, and alerting
- Integrate OpenRTB signals into data pipelines
- Maintain and optimize real time streaming workloads
- Manage event schemas with versioning
- Process bid requests impressions clicks and engagement data
- Write production code for distributed systems
Perks/Benefits
- Child day care
- Gym membership
- Healthcare coverage
- Lunch vouchers
- Relocation support
- Remote days
- Unlimited vacation
- Visa support
- Wellness activities
Skills/Tech-stack
Amazon Kinesis | Apache Flink | Apache Kafka | Apache Pulsar | Avro | CI/CD | Cloud PubSub | Data Pipelines | Docker | Google Cloud | Google Cloud PubSub | Helm | Java | Kubernetes | OpenRTB | Protobuf | Python | Real Time | Real-Time Bidding | Real-time Data | Real-time data pipelines | Scala | Spark Structured Streaming | Structured Streaming | Terraform
Education
N/A
Roles
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