Senior Data Engineer - Spark / Kafka / NiFi
Tasks
- Analyze bottlenecks and optimize performance
- Build deployment automation and operational tooling
- Build validation suite for distributed systems
- Conduct code reviews
- Contribute to CI/CD processes
- Develop real-time data processing applications
- Develop scalable batch data processing applications
- Develop storage solutions using distributed storage
- Implement data pipelines for real time processing
- Implement data replay and recovery
- Improve scalability reliability and availability
- Maintain documentation for systems and APIs
- Manage checkpointing and failure handling
- Mentor junior engineers
- Monitor production environments
- Perform troubleshooting and root cause analysis
- Validate and support NiFi data ingestion and transformation
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Kafka | Apache NiFi | Apache Ozone | Apache Spark | CI/CD | Ceph | Data Modeling | Docker | Event Driven | Event-driven architecture | Git | HDFS | Hadoop | Kubernetes | Linux | Python | SQL | Scala | Shell Scripting | Streaming Architecture | Structured Streaming
Education
N/A
Roles
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