GCP Data Engineer

We are seeking a highly experienced GCP Data Engineer to join a data-driven team supporting large-scale analytics and cloud-native data platforms. This role requires deep hands-on experience with Google Cloud Platform services, strong Python and SQL skills, and the ability to build, deploy, and maintain robust data pipelines in a production environment.

• Design, build, and maintain scalable data pipelines and workflows on Google Cloud Platform
• Develop and optimize data solutions using Big Query and Google Cloud Storage (GCS)
• Implement event-driven and batch processing using Pub/Sub
• Deploy and manage services using Cloud Run
  , Cloud Functions
  , and Cloud Composer
• Collaborate with Dev Ops teams to support CI/CD pipelines and cloud infrastructure best practices
• Manage service accounts
  , IAM permissions
  , and Secrets Manager configurations
• Build and maintain data transformations using dbt
• Support analytics and reporting use cases, including integrations with Power Apps
• Ensure data quality, performance optimization, and security compliance
• Work closely with cross-functional teams including data scientists, analysts, and application developers

• 10+ years of overall software or data engineering experience
• 3–4+ years of hands-on experience with the GCP data stack

Strong expertise in:

• Big Query, GCS
• Pub/Sub
• Proficient in Python and SQL
• Experience with Git Hub and modern Dev Ops practices
• Solid understanding of cloud security concepts, including service accounts and secrets management
• Hands-on experience with dbt
• Familiarity with Power Apps
• Google certifications

• Experience working in highly regulated or enterprise environments
• Strong troubleshooting and performance tuning skills