Data Engineer building scalable and reliable data pipelines for Billor Company's trucking ecosystem. Collaborating with product owners and teams to ensure data quality and governance in decision making.
Responsibilities
Build and maintain scalable data pipelines using GCP (BigQuery, Cloud Functions, Cloud Run, Workflows, Pub/Sub)
Design, optimize, and document data models across raw, silver, and gold layers
Ensure performance, reliability, and maintainability of data workflows
Work closely with product owners and team leads to understand business rules, data needs, and operational constraints
Translate business requirements into technical solutions, ensuring clarity and alignment
Implement validation checks, monitoring, and controls to ensure data accuracy and consistency
Maintain clear documentation of business rules, data contracts, and pipeline behavior
Support analysts, BI developers, and other engineers with data access, troubleshooting, and best practices
Participate in discussions related to strategic metrics, data availability, and system improvements
Requirements
Experience as a Data Engineer or similar role
Strong SQL and Python skills
Hands-on experience with GCP, especially BigQuery and data pipelines
Knowledge of data modeling (raw, silver, gold layers) and DBT
Understanding of data quality, monitoring, and governance
Ability to translate business needs into technical solutions
Strong collaboration, communication, and documentation skills
Benefits
On-site/or hybrid
Health and dental plan
Paid vacation
Holidays off
Parental Leave
Wedding Leave
Flash card
Total Pass
Clude Saúde
Annual bonus based on both company and individual performance
Eligibility to the LTIP (Long Term Incentive Plan)
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