Data Engineer - Senior - BR

Department: Operations

Employment Type: Full Time

Location: Chile, Hybrid

Key Responsibilities

• Design and maintain reliable and scalable data pipelines, ensuring data quality, integrity, and availability for business and analytics teams.
• Optimize data processing, storage, and usage to reduce execution times and costs (FinOps), while maximizing the overall value of the information.
• Apply data governance policies, guaranteeing standards for quality, naming conventions, cataloging, and maturity to ensure order and traceability.
• Comply with security and compliance regulations, protecting data and ensuring adherence to current laws and industry standards.
• Monitor and evolve data pipelines and systems, maintaining their reliability, resilience, and adaptability to new business needs.
• Democratize data access and enable its cross-functional exploitation across the organization.
  
  

Skills, Knowledge and Expertise

• SQL and Python (the core of the role)
• GCP, with a strong focus on BigQuery and Cloud Storage
• APIs (consumption and integration)
• Basic CI/CD (GitHub Actions or Cloud Build) for deploying pipelines

• Medallion Architecture (Bronze/Silver/Gold) → this is how the lake/warehouse will be structured
• Query and cost optimization in BigQuery (where SQL meets FinOps)
• Spanish (basic or intermediate) is a plus!