Senior Data Engineer
Tasks
- Design real-time and batch data pipelines
- Develop scalable data ingestion transformation enrichment delivery systems
- Improve data quality observability reliability operational performance
- Lead technical discussions design reviews architecture decisions
- Optimize data processing systems scalability latency cost efficiency
- Own data pipeline lifecycle development testing deployment monitoring optimization
- Provide production support and incident response
- Support reporting automation downstream data consumption
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS CloudFormation | Apache Flink | Azure | Batch Processing | CI/CD | Change Data Capture | Cloud platform | Data Capture | Data Engineering | Data Ingestion | Data Pipelines | Data Quality | Data Transformation | Data Warehousing | Distributed Systems | Event Driven | Event Sourcing | Event-driven architecture | Go | Google Cloud | Google Cloud Platform | Infrastructure as Code | Java | Kafka | Lakehouse | Low Latency | Low-Latency Systems | Microservices | Observability | Production Support | Python | Real Time | Real-time Processing | Reliability Engineering | Rust | Streaming | Terraform | Time processing | “as-code”
Education
N/A
Roles
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