Principal Software Engineer (Big Data/AI)
Tasks
- Apply test-driven development
- Build analytics pipelines
- Build data pipelines
- Design microservices deployments
- Design scalable software features
- Develop RESTful APIs
- Develop cloud services
- Implement continuous integration
- Implement message queuing
- Implement stream-processing
- Manage source control
- Perform code reviews
- Suggest development process improvements
- Troubleshoot customer issues
- Use Gradle for build management
- Use Maven for build management
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agile | Apache Hadoop | Apache Hive | Apache Kafka | Cloud Dataflow | Cloud platform | Continuous integration | Data Stores | Distributed Computing | GCP | Google Cloud | Google Cloud Dataflow | Google Cloud Platform | Google Kubernetes | Google Kubernetes Engine | Gradle | Kubernetes | Kubernetes Engine | Maven | Message queuing | Microservices | Microsoft Azure | Object-Oriented | Object-oriented design | PubSub | REST APIs | SQL | Scrum | Stream processing | Test-Driven | Test-Driven Development
Education
Regions
Countries
States
Cities
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