AI ML Data Engineer for ADAS Sr Full Stack Developer
Tasks
- Analyze and visualize data with Python libraries
- Automate infrastructure with Terraform
- Build Kafka data pipelines
- Build backend services
- Configure manage Kafka clusters
- Containerize applications
- Deploy and maintain cloud applications
- Design microservices architecture
- Develop event-driven systems
- Develop web APIs
- Implement CI/CD pipelines
- Implement branching and pull requests
- Manage deployments with OpenShift
- Orchestrate services with Kubernetes
- Perform code quality checks
- Troubleshoot Kafka issues
- Use Git for version control
- Work with Linux commands
- Write automated tests with JMeter
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Apache | Apache JMeter | Azure | CI/CD | D3.js | Django | Docker | Elasticsearch | Event Driven | Event-driven architecture | Express | Flask | Git | JavaScript | Jenkins | Kafka | Kubernetes | Linting | Linux | Matplotlib | Microservices | MongoDB | MySQL | Node.js | Object-Oriented | Object-oriented programming | OpenShift | Python | Seaborn | SonarQube | Terraform
Roles
Backend | Backend Developer | Data Engineer | Developer | Engineer | Full Stack | Full Stack Developer
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