[Remote] GCP Data Engineering

Note: The job is a remote job and is open to candidates in USA. Axelon Services Corporation is seeking an experienced GCP Data Engineer to design, build, and maintain scalable cloud-native data platforms on Google Cloud Platform. The role involves working with GCP services and requires expertise in Python, SQL, and CI/CD practices to support data and platform engineering initiatives.

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

Skills

• 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
• 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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