getSummary
Written in English from the original postingSenior Data Engineer role focused on designing, maintaining, and optimizing reliable and scalable data pipelines on GCP. The position includes data governance, security compliance, cost optimization, and enabling trustworthy data access for business and analytics teams. Required skills include SQL, Python, GCP, BigQuery, Cloud Storage, APIs, and basic CI/CD.
Job description
We are hiring: Senior Data Engineer!
Ready to take the next step in your career? We are looking for a Data Engineer who goes beyond the standard pipelines. We need a process-flow specialist ready to leverage AI and Prompt Engineering to drive massive efficiency.
¡This is a position for people from Brazil!
Key Responsibilities
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
Must-have skills:- 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!