Google Cloud Lead Data Engineer

📋 Description

• Lead data engineering for client engagements, designing data architectures that bring GA4
• Own the full data lifecycle, from raw landing tables and ingestion through Dataform models
• Build and operate Dataform projects, including assertions, scheduled runs
• Develop and maintain Python ingestion services on Cloud Run, including API integrations
• Configure and support the cloud infrastructure required for reliable warehouse operations
• Troubleshoot discrepancies between source systems, warehouse models, and reporting dashboards

🎯 Requirements

• Proven production experience with BigQuery and Dataform or dbt, including assertions, scheduled
• Strong knowledge of the GA4 BigQuery export schema, including the ability to work with event
• Hands-on experience developing and owning production-grade Python data pipelines, particularly API
• Experience deploying containerized data services using Cloud Run or a comparable cloud-native
• Strong understanding of Google Cloud IAM, including service accounts, impersonation, permissions
• Experience integrating Looker or Looker Studio with BigQuery and tracing metrics from source events

🎁 Benefits

• Fully remote position open to candidates located anywhere in Latin America.
• Contract-based engagement with opportunities to join a broader contractor network.
• Compensation determined according to relevant experience, project background, geographic location
• Opportunity to work on enterprise-grade data engineering projects for globally recognized brands.
• Exposure to modern Google Cloud technologies, including BigQuery, Dataform, Cloud Run, IAM, and
• Opportunity to collaborate with distributed US-based teams while working remotely.