Consultant Data Engineer
Tasks
- Build REST API services
- Build data pipelines
- Collaborate with machine learning services
- Deploy applications to client environments
- Develop ETL scripts
- Develop Python server-side tools
- Implement CI/CD pipelines
- Implement OAuth2 authentication
- Implement application security
- Implement role-based access control
- Maintain application lifecycle in DevOps culture
- Manage Docker containers
- Manage Kubernetes clusters
- Manage certificates and HTTPS
- Manage credentials
- Monitor cloud costs
- Optimize cloud storage and compute
- Use infrastructure as code
Perks/Benefits
Skills/Tech-stack
AWS | Access Control | Azure | Big Data | CI/CD | Certificate management | Cluster management | Compute services | Cost monitoring | Credential Management | Docker | ETL | GCP | GitLab CI | HTTPS | Infrastructure as Code | Kubernetes | Kubernetes Cluster | Kubernetes cluster management | MongoDB | NoSQL | OAuth2 | PostgreSQL | Python | REST API | Role-Based Access | Role-Based Access Control | SQL | Storage Services | Terraform | “as-code”
Education
Roles
Data Engineer | Data Science | Data Science Engineer | Engineer
Regions
Countries
States
Cities
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