Role Overview
- 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.
Requirements
- SQL
- Cloud Components (GCP)
- DevOps
- Prompt Engineering
- Knowledge on Medallion Architecture
- Data Governance & Compliance
- Optimization processes
- Python
- APIs & Services
Spanish (basic or intermediate) is a plus!
Tech Stack
- Cloud
- Google Cloud Platform
- Python
- SQL