GCP Data Engineer - Remote / Telecommute
$50 - $55 per hourCynet Systems
GCP Data Engineer
Pay Range: $50/hr - $55/hr
We are seeking a GCP Data Engineer with extensive experience in cloud engineering, data engineering, or platform engineering.
Requirement/Must Have:
- 6+ years of industry experience in cloud engineering, data engineering, or platform engineering.
- Hands-on experience with Google Cloud Platform services (BigQuery, Composer/Airflow, Dataproc, Cloud Storage).
- Experience building and deploying backend APIs and cloud-native services.
- Solid expertise with containerization and orchestration (Docker, Kubernetes, GKE).
- Proficiency in Python for data processing, orchestration, or backend services.
- Strong SQL skills, particularly with BigQuery or similar cloud data warehouses.
- Experience with Vertex AI (pipelines, model deployment, batch/online inference, or GenAI integration).
- Experience building and operating data pipelines and ETL/ELT workflows in a production environment.
- Experience building and maintaining CI/CD pipelines (e.g., GitHub Actions, Jenkins), including automated testing and environment promotion.
- Understanding of infrastructure-as-code, cloud reliability, and production incident response.
- Strong communication skills, including the ability to explain technical concepts to non-technical stakeholders.
- Bachelor's degree in computer science, engineering, or related field.
Nice to Have:
- Practical MLOps experience, including model serving, monitoring, and retraining workflows.
- Experience with distributed data processing frameworks such as Apache Spark or Apache Beam (Dataproc, Dataflow).
- Experience with Cloud SQL/PostgreSQL and performance optimization for analytical serving patterns.
- Familiarity with healthcare or insurance data ecosystems, or other regulated environments.
- Experience improving platform reliability through observability, documentation, and operational playbooks.
- Experience optimizing cloud infrastructure for cost, performance, and resiliency.
- Experience building internal tools or product-facing analytics applications.
- Advanced degree in computer science, engineering, or related field.
Vacancy posted 2 days ago
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