GCP Data Engineer (Google)
Tasks
- Build and maintain scalable data pipelines
- Collaborate to ensure data quality integrity and security
- Design and optimize BigQuery data models
- Explore and recommend data technologies and cloud services
- Implement CI/CD for data pipelines
- Implement data streaming with Pub Sub
- Implement end to end data processing systems
- Monitor and troubleshoot production data systems
- Translate business requirements into scalable fault tolerant solutions
Perks/Benefits
- Career development training programs
- Discounted health insurance
- Discounts on products and services
- Paid parental leave
- Well-being initiatives
Skills/Tech-stack
Apache Airflow | Apache Beam | Apache Kafka | App Engine | Automated testing | Bash | BigQuery | CI/CD | Cloud Composer | Cloud Dataflow | Cloud Security | Cloud Storage | Cloud platform | Compute Engine | DNS | Data Quality | DataOps | Docker | Firewalls | Git | Google Cloud | Google Cloud Platform | Kubernetes | Kubernetes Engine | Load Balancing | Private Cloud | Pub/Sub | Python | Subnets | Terraform | VPC | Virtual Private Cloud
Education
N/A
Roles
Regions
Countries
States
Cities
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