GCP Data Engineering

Axelon

Aliso Viejo, CA

Summary:

Work Mode: Remote

Responsibilities:

Design, build, and maintain scalable cloud-native data platforms, APIs, and ETL/ELT pipelines on Google Cloud Platform.
Support data, AI/GenAI, and platform engineering initiatives in a production environment.

Requirements:

Minimum 6 years of industry experience in cloud engineering, data engineering, or platform engineering.
Hands-on experience with Google Cloud Platform (GCP) services: BigQuery, Composer/Airflow, Dataproc, and Cloud Storage.
Experience building and deploying backend APIs and cloud-native services.
Proficiency in Python for data processing, orchestration, or backend services.
Strong SQL skills, particularly with BigQuery or similar cloud data warehouses.
Experience building and operating data pipelines and ETL/ELT workflows in a production environment.
Solid expertise with Docker, Kubernetes, and Google Kubernetes Engine (GKE).
Experience with Vertex AI, including pipelines, model deployment, batch/online inference, or GenAI integration.
Experience building and maintaining CI/CD pipelines (GitHub Actions, Jenkins), including automated testing and environment promotion.
Understanding of infrastructure-as-code, cloud reliability, and production incident response.
Experience enabling adoption of GenAI capabilities with production-ready deployment and governance patterns.
Self-directed problem solver with strong communication skills and the ability to explain technical concepts to non-technical stakeholders.
Bachelor's degree in Computer Science, Engineering, or a related field.

Preferred Skills:

Practical MLOps experience, including model serving, monitoring, and retraining workflows.
Experience with Apache Spark, Apache Beam, Dataproc, or Dataflow.
Experience with Cloud SQL/PostgreSQL and performance optimization for analytical serving patterns.
Familiarity with healthcare, insurance, or other regulated data 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 a related field.

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Vacancy posted 2 days ago

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