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.