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GCP Data Engineer - Remote / TelecommuteCynet SystemsUnited States
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GCP Data Engineer - Remote / Telecommute

Cynet Systems
  • US
    United States
  • US
    United States

Über

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.
  • United States

Sprachkenntnisse

  • English
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