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comprobable en diseño de bases de datos transaccionales.\nConocimientos avanzados de bases de datos SQL y NoSQL.\nExperiencia desarrollando en Python y Scala dentro de entornos Databricks.\nExperiencia con procesamiento de datos a gran escala mediante Apache Spark.\nConocimiento de arquitecturas orientadas a eventos y consumo de microservicios.\nExperiencia trabajando con formatos de datos: JSON, XML, CSV, Parquet\nConocimiento y administración de Unity Catalog.\nExperiencia en implementación y mantenimiento de procesos CI/CD para soluciones de datos.\nCapacidad para optimizar consultas, procesos de extracción y rendimiento de plataformas de datos.\nHabilidades Deseables:\nExperiencia con Kafka u otras plataformas de streaming.\nConocimiento de Data Lakehouse Architecture.\nExperiencia con Terraform o herramientas de Infraestructura como Código (IaC).\nCertificaciones Microsoft Azure relacionadas con Data Engineering.\nExperiencia en ambientes ágiles (Scrum / Kanban).\nConocimiento de 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