Senior Data Engineer – Real-Time & Distributed Systems (GCP)
Tasks
- Build optimize data systems
- Collaborate with data science teams
- Design data pipelines
- Ensure data reliability performance low-latency
- Implement performance tuning monitoring cost optimization
- Maintain event-driven architectures
Perks/Benefits
- N/A
Skills/Tech-stack
Airflow | Apache Beam | Apache Spark | Big Data | Big Data Pipelines | Cloud Composer | Cloud Ecosystem | Cloud Spanner | Data Pipelines | Dataflow | Distributed Systems | Fault Tolerance | Flume | Go | Google Cloud | Google Cloud Composer | Google Cloud Spanner | Google Cloud ecosystem | High Availability | Java | Kafka | Logging | Monitoring | Multi-region | Multi-region Deployments | NoSQL | Observability | Performance optimization | Pub/Sub | Python | Scala | Scalability | System Reliability | Workflow Orchestration
Education
N/A
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