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GCP Engineer

Qode is a technology company specializing in enterprise cloud solutions and data engineering services.
Tampa, FL, USADallas, TX, USARidge, NY, USA
Cloud
Senior Software Engineer
Hybrid
10+ years of experience
Enterprise SaaS

Job Description

Qode is seeking a highly experienced GCP Engineer to join their team in a hybrid work environment. This role focuses on designing and implementing data solutions on Google Cloud Platform, with a special emphasis on BigQuery and other GCP services. The ideal candidate will bring 10+ years of experience in data engineering and cloud computing, working with large-scale data processing systems.

The position involves building and maintaining data warehouses, ETL pipelines, and ensuring robust data security and governance. You'll work with cutting-edge technologies including Cloud Dataflow, Cloud Dataproc, and Cloud Composer, while implementing both real-time and batch data processing solutions. The role requires expertise in Python, SQL, and various GCP services, making it perfect for someone who enjoys working with complex data systems.

As a GCP Engineer, you'll collaborate closely with Data Scientists and Analysts, optimizing query performance and enabling advanced analytics capabilities. The role offers the opportunity to work with modern cloud infrastructure, implement CI/CD pipelines, and contribute to large-scale data processing solutions. The hybrid work model provides flexibility while maintaining team collaboration, with locations available in Tampa, Dallas, or Basking Ridge.

This position is ideal for a senior-level engineer who is passionate about cloud technologies, has strong problem-solving skills, and wants to work with enterprise-scale data solutions. The role offers the chance to work with modern cloud infrastructure and contribute to significant data engineering projects. GCP Professional Data Engineer Certification holders and those with machine learning workflow experience will find additional opportunities to apply their expertise.

Last updated 8 days ago

Responsibilities For GCP Engineer

  • Design, develop, and optimize BigQuery data warehouses, ensuring high performance and cost efficiency
  • Build and maintain scalable ETL pipelines using GCP services
  • Implement data ingestion, transformation, and processing workflows
  • Work with Cloud Storage, Pub/Sub, and Cloud Functions for real-time and batch data processing
  • Ensure data security, governance, and compliance
  • Collaborate with Data Scientists and Analysts to optimize query performance
  • Troubleshoot performance issues and manage BigQuery cost and resource utilization
  • Implement CI/CD pipelines for data workflows
  • Monitor and maintain GCP infrastructure

Requirements For GCP Engineer

Python
Kubernetes
  • 10+ years of experience working as a GCP Data Engineer or similar role
  • Strong expertise in Google BigQuery
  • Hands-on experience with ETL tools and frameworks
  • Proficiency in SQL, Python, and Shell scripting
  • Experience with Google Cloud Storage, Pub/Sub, and Cloud Functions
  • Strong understanding of GCP IAM, security best practices, and data governance
  • Familiarity with Terraform, Cloud Build, and CI/CD
  • Ability to work with large-scale datasets and real-time streaming data processing
  • Experience in data modeling, schema design, and optimization techniques
  • Strong analytical and problem-solving skills

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