Data Engineer Semi Senior
Temps plein
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Buscamos un/a Data Engineer Semi Senior con experiencia en Google Cloud Platform (GCP), apasionado/a por la construcción de arquitecturas de datos escalables y soluciones analíticas modernas.
La persona ideal tendrá experiencia trabajando con grandes volúmenes de datos, desarrollo de pipelines ETL/ELT, procesamiento near real time y optimización de modelos de datos en entornos cloud. Además, contará con una fuerte orientación a buenas prácticas, automatización y calidad de datos.
Responsabilidades
Diseñar, desarrollar y mantener pipelines de datos sobre Google Cloud Platform.
Construir y optimizar soluciones de integración ETL/ELT.
Gestionar y procesar grandes volúmenes de información en BigQuery.
Desarrollar flujos de eventos en tiempo real utilizando Pub/Sub y Dataflow.
Implementar modelos de datos eficientes para Data Lakes y Data Warehouses.
Automatizar monitoreo, observabilidad y alertamiento de pipelines.
Colaborar con equipos de Data Governance para asegurar calidad, trazabilidad y seguridad de datos.
Implementar buenas prácticas de desarrollo, versionamiento e integración continua.
Optimizar performance, estabilidad y escalabilidad de soluciones de datos.
Requisitos
+3 años de experiencia en Ingeniería de Datos.
Experiencia sólida trabajando con Google Cloud Platform (GCP).
Dominio de BigQuery.
Experiencia con Pub/Sub y Dataflow.
Conocimientos sólidos en ETL/ELT y arquitectura de datos.
Dominio avanzado de Python y SQL.
Experiencia trabajando con procesamiento distribuido de datos (Spark deseable).
Manejo de Terraform para infraestructura como código.
Experiencia con Cloud Composer / Apache Airflow.
Uso de Git/GitHub y pipelines CI/CD.
Conocimientos en Data Governance y Data Observability.
Capacidad analítica y experiencia en troubleshooting técnico.
Beneficios
Pago en USD.
Ubicación: 100% remoto LATAM.
Modalidad freelance.
Proyecto inicial de 2 meses.
Posibilidad de participar en proyectos de alto impacto regional.
Full Time
L'offre d'emploi a été publiée il y a 15 jours
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