🛠 Tech Stack

💼 About This Role

You'll design and build scalable data platforms on Google Cloud, focusing on real-time and batch pipelines using BigQuery, Dataflow, and Pub/Sub. Your work will directly support high-impact analytics products and drive business-critical insights across global teams. This role offers deep collaboration with data science and engineering teams in an agile environment.

🎯 What You'll Do

• Design and maintain scalable batch and real-time data pipelines using GCP.
• Develop robust ETL/ELT workflows with high availability and fault tolerance.
• Implement dbt transformation models and CI/CD pipelines for curated datasets.
• Optimize BigQuery performance through query tuning and cost-efficient design.
• Build and monitor data quality frameworks with Great Expectations and SLOs.

📋 Requirements

• Expertise in Python for data pipeline development and automation.
• Advanced SQL skills with complex queries and analytical functions.
• Deep experience with Google Cloud Platform (BigQuery, Dataflow, Pub/Sub).
• Proven ability to build scalable batch and streaming pipelines.
• Experience implementing dbt workflows and CI/CD pipelines.

✨ Nice to Have

• Experience with data quality frameworks like Great Expectations.
• Knowledge of cloud cost optimization in large-scale environments.
• Experience with event-driven architectures and streaming pipelines.

🎁 Benefits & Perks

• 💰 Competitive compensation aligned with market standards.
• 🏠 Flexible remote work model within Brazil.
• 🚀 Cutting-edge Google Cloud technologies and large-scale systems.
• 🌍 International, collaborative environment with strong engineering culture.
• 📈 Career growth opportunities in data engineering and cloud architecture.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Phone Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Offer· 30 min