Engenheiro de Dados GCP - Sênior

📋 Description

• Reverse engineer PySpark data logic; translate to native SQL for BigQuery.
• Use AI-powered tools to accelerate data pipeline work and automation.
• Modernize ingestion with Datastream, Dataflow, Cloud Run.
• Build and manage data orchestration with Cloud Composer.
• Manage Iceberg data via BigLake for performance and cost.
• Design automated tests to validate migration accuracy.

🎯 Requirements

• Minimum 6 years on GCP, BigQuery, GCS, and Cloud Composer.
• Advanced SQL and Python/PySpark expertise.
• Proven experience designing and optimizing large-scale pipelines.
• Hands-on with Iceberg/Delta open table formats.
• Experience with Dataform or dbt.
• Strong cloud-native data services and migration strategies.

🎁 Benefits

• Fully remote work model.
• Challenging cloud data modernization projects.
• Temporary project contract up to 4 months, with potential extension.
• Exposure to modern Google Cloud technologies, AI-assisted engineering practices.
• Collaborate with experienced professionals in data, cloud, and AI environments.
• Continuous learning and professional development opportunities.