Secure Data Engineer
Tasks
- Build data applications processing high volume high velocity data
- Build scalable secure data platforms
- Containerize services and deploy into secure environments
- Define data workflows and manage dependencies
- Deploy solutions into containerized environments
- Design develop implement data warehouses lakehouses and AI ML models
- Design real-time data ingestion and event-driven patterns
- Develop modular maintainable software components
- Ensure system reliability security and auditability
- Implement monitoring logging metrics and lineage
- Orchestrate complex workflows
- Provision resources using Infrastructure as Code
Perks/Benefits
Skills/Tech-stack
AI | AWS | Airflow | Ansible | Argo | Automated testing | Azure | CI/CD | Cloud Platforms | DBT | Dagster | Docker | GCP | GitHub Actions | GitLab CI | Great Expectations | Kafka | Kubernetes | MLOps | Model Deployment | Network environments | Object-Oriented | Object-oriented design | PostgreSQL | Prefect | Python | Secure Network | Secure network environments | Spark | Terraform | Version control
Education
Roles
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