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- Senior
About the role
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!
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