FinOps AI Cost & Usage Analytics Engineer

Gorilla Logic; Colombia; Presencial; COP 60.000.000 - 120.000.000; Jornada completa

Descripción de la vacante

Gorilla Logic in Colombia is seeking a FinOps Data Engineer to build scalable data pipelines that ingest AI usage and cost data across multiple providers. You will model data in BigQuery and enable self-service analytics via Power BI, collaborating with FinOps, Finance and Engineering to drive cost visibility and optimization.

Responsibilities include designing ingestion pipelines, APIs, data quality, and governance, plus developing analytical data models for cost allocation, forecasts, and

Formación

• 3+ years of professional experience in Data/Analytics Eng or related role.
• Strong SQL and analytical data modeling skills.
• Hands-on experience with Google BigQuery or similar cloud warehouses.
• Experience with Python-based data ingestion and REST APIs.

Responsabilidades

• Design, build, and maintain scalable data pipelines ingesting AI usage, billing, and consumption data from multiple providers.
• Develop API integrations and scheduled data ingestion using Python, Cloud Functions, or Cloud Composer/Airflow.
• Build unified BigQuery data models that normalize usage and billing data across providers.
• Create Power BI dashboards showing AI spend, usage trends, and cost allocation.
• Ensure data quality, monitoring, and governance, including security and access controls.

Conocimientos

SQL

Python

BigQuery

Airflow

Power BI

REST APIs

Data Modeling

CI/CD

Data Governance

Cloud Billing

Herramientas

dbt

Dataform

Git

Descripción del empleo

Gorilla Logic in Colombia is seeking a FinOps Data Engineer to build scalable data pipelines that ingest AI usage and cost data across multiple providers. You will model data in BigQuery and enable self-service analytics via Power BI, collaborating with FinOps, Finance and Engineering to drive cost visibility and optimization.

Responsibilities include designing ingestion pipelines, APIs, data quality, and governance, plus developing analytical data models for cost allocation, forecasts, and