Semi Senior Data Engineer - Finanzas y Contabilidad

Job not on LinkedIn

May 24

🇨🇴 Colombia – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🗣️🇪🇸 Spanish Required

Apply Now
Logo of Real Time Analytics

Real Time Analytics

We are a company that provides consulting services, design and implementation of solutions in Big Data and Data Analytics, with more than 34 years of experience. We help our clients in their digital transformation journey in order to optimize their performance and be more competitive in their market, making better and faster decisions based on data, hand in hand with trained talent in different industries and cutting-edge technologies. We solve business problems through analytical models that make knowledge profitable and optimize digital transformation processes. We work with different technologies in which our team of specialists have the experience and certifications that allow us to analyze the different needs of clients, their technological preferences and propose solutions that maximize investments in analytical platforms. Similarly, we have strategic allies for specific projects for business issues that warrant it. We are your ideal ally in analytical business architecture processes!

51 - 200 employees

📋 Description

• Diseñar, construir y optimizar pipelines de datos para análisis financiero y contable. • Implementar modelos de datos para reportes, conciliaciones y auditorías. • Asegurar la calidad y consistencia de los datos con validaciones y alertas. • Automatizar reportes y dashboards sobre métricas clave: ingresos, flujo de caja, impuestos, etc. • Colaborar con Finanzas & Contabilidad para entender sus necesidades y diseñar soluciones basadas en datos. • Optimizar tiempos de procesamiento y almacenamiento en el Data Warehouse. • Garantizar la seguridad y gobernanza de los datos financieros.

🎯 Requirements

• Mínimo 4 años como Data Engineer o Analytics Engineer. • Idealmente, experiencia en sectores financieros, contables o fintech. • SQL avanzado y modelado de datos para análisis financiero. • Construcción de pipelines ETL/ELT con herramientas como dbt, Dataform, Airflow o similares. • Experiencia en Google Cloud Platform (BigQuery, Cloud Functions, Cloud Storage). • Dominio de Python para procesamiento de datos. • Conocimiento de principios contables y financieros. • Inglés intermedio (B1).

Apply Now

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