GCP Data Engineer | Java & PySpark
Tasks
- Build microservices
- Collaborate with stakeholders
- Conduct code reviews
- Deploy services on GKE
- Design data pipelines
- Develop APIs
- Develop data pipelines
- Implement data streaming
- Migrate workloads to GCP
- Optimize data pipelines
- Participate in agile ceremonies
- Perform system optimization
- Troubleshoot data pipelines
- Write technical documentation
Perks/Benefits
Skills/Tech-stack
API Development | Agile | BigQuery | CI/CD | Cloud Build | Cloud Composer | Cloud Dataflow | Cloud Dataproc | Cloud Storage | Cloud platform | Data Streaming | GCP Dataflow | Git | Google Cloud | Google Cloud Platform | Google Kubernetes | Google Kubernetes Engine | Hadoop | Hive | Java | Jenkins | Kafka | Kubernetes | Kubernetes Engine | Perl | PySpark | Python | REST API | SQL | Scikit-learn | Scrum | Shell Scripting | Spring Boot | TensorFlow | Unix/Linux
Education
N/A
Roles
Data Engineer | Engineer | GCP Data Engineer | Software Engineer
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