Data Engineer GCP (m/f/d)
Tasks
- Build and deploy machine learning models with Vertex AI
- Deploy and manage infrastructure on Google Cloud Platform
- Deploy workloads across development testing and production
- Develop Python applications for GCP services
- Enforce security and compliance using IAM and Secret Manager
- Implement CI CD pipelines for cloud deployment and testing
- Implement data processing and transformation pipelines
- Integrate data from external sources and Google Cloud Storage
- Manage GCP services with Terraform
- Orchestrate workflows using Airflow
Perks/Benefits
- 26 plus vacation days
- Childcare support
- Coursera access
- Customized training
- Flexible working hours
- Free access to specialist services
- Hybrid work model
- International mentoring
- Life and accident insurance
- Meal vouchers
- Medical leave salary coverage
- Telemedicine
- Transport support
- Weekly language classes
Skills/Tech-stack
Access Management | Airflow | BigQuery | CI/CD | Cloud Run | Cloud Storage | Cloud platform | Composer | Compute Engine | DNS | Firewalls | GCP | GitLab CI | GitLab CI/CD | Google Cloud | Google Cloud Platform | Google Kubernetes | Google Kubernetes Engine | Hive | Hub and Spoke | Identity and Access Management | Identity and access | Identity-Aware Proxy | Kubernetes Engine | Load Balancing | Machine Learning | Private Network | PySpark | Python | Secret Manager | Shared VPC | Terraform | Vertex AI | Virtual Private Network
Education
N/A
Roles
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