{"id":13113,"date":"2026-11-03T19:46:00","date_gmt":"2026-11-03T19:46:00","guid":{"rendered":"https:\/\/www.webuildit.tech\/careers\/ingeniero-a-de-datos-senior\/"},"modified":"2026-11-03T20:07:17","modified_gmt":"2026-11-03T20:07:17","slug":"ingeniero-a-de-datos-senior","status":"publish","type":"job","link":"https:\/\/www.webuildit.tech\/es\/carreras\/ingeniero-a-de-datos-senior\/","title":{"rendered":"Ingeniero\/a de Datos Senior"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Buscamos a un\/a Ingeniero\/a de Datos Senior con mucho talento para dise\u00f1ar, construir y mantener la arquitectura de datos de alto volumen que sostiene la estrategia de precios retail y la planificaci\u00f3n del espacio f\u00edsico en las tiendas. En nuestro ecosistema cloud moderno (Databricks sobre AWS), automatizar\u00e1s los pipelines que conectan el software interno de gesti\u00f3n de tiendas con grandes feeds de proveedores CPG externos (por ejemplo, grandes proveedores de bebidas, productos envasados y alimentaci\u00f3n) y con datasets de comparaci\u00f3n de mercado.<\/p>\n\n<h2 class=\"wp-block-heading\">Responsabilidades principales<\/h2>\n\n<ul class=\"wp-block-list\">\n<li><strong>Automatizaci\u00f3n de pipelines e ingesta de datos:<\/strong> Dise\u00f1ar, construir y optimizar feeds de datos automatizados para las actualizaciones de costos de proveedores CPG, los precios de la competencia y los datos de distribuci\u00f3n espacial de las tiendas.<\/li>\n<li><strong>Gobierno del data stack moderno:<\/strong> Gestionar y estructurar pipelines modulares con dbt, Databricks Unity Catalog y Python, asegurando un alto rendimiento, un buen gobierno de datos y el control de los esquemas.<\/li>\n<li><strong>Transformaciones de datos complejas:<\/strong> Escribir scripts avanzados de SQL y Python, listos para producci\u00f3n, para limpiar, estructurar y unir datasets heterog\u00e9neos de proveedores en modelos de datos escalables.<\/li>\n<li><strong>CI\/CD y calidad del c\u00f3digo:<\/strong> Aplicar integraci\u00f3n continua, pruebas unitarias, control de versiones y despliegues automatizados con GitHub.<\/li>\n<li><strong>Optimizaci\u00f3n de la arquitectura cloud:<\/strong> Monitorear y ajustar el rendimiento de c\u00f3mputo, el almacenamiento de datos y la ejecuci\u00f3n de los pipelines en AWS y Databricks.<\/li>\n<\/ul>\n\n<h2 class=\"wp-block-heading\">Requisitos<\/h2>\n\n<ul class=\"wp-block-list\">\n<li><strong>Experiencia:<\/strong> M\u00e1s de 5 a\u00f1os de experiencia pr\u00e1ctica en ingenier\u00eda de datos, idealmente en retail, CPG, e-commerce o cadena de suministro.<\/li>\n<li><strong>Stack principal:<\/strong> Dominio experto de SQL, Python, dbt, Databricks Unity Catalog y la infraestructura de datos de AWS.<\/li>\n<li><strong>Automatizaci\u00f3n y control de versiones:<\/strong> \u00c9xito demostrado creando frameworks de ingesta automatizada y usando GitHub para gestionar repositorios y pipelines de CI\/CD.<\/li>\n<li><strong>Modelado de datos:<\/strong> Buen conocimiento del modelado dimensional, los esquemas en estrella y la creaci\u00f3n de cat\u00e1logos empresariales unificados.<\/li>\n<li><strong>Habilidades blandas:<\/strong> Excelente comunicaci\u00f3n en remoto, actitud proactiva para resolver problemas y capacidad para trabajar de forma aut\u00f3noma en un esquema nearshore.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Dise\u00f1a y automatiza los pipelines de datos detr\u00e1s de la estrategia de precios retail y la planificaci\u00f3n del espacio en tienda, con Databricks y AWS.<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"_acf_changed":false},"job_area":[364],"job_skill":[427,426,425,424],"class_list":["post-13113","job","type-job","status-publish","hentry","job_area-soluciones-tecnologicas"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v28.6 (Yoast SEO v28.8) - 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