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Nuestros empleados aportan una profunda experiencia en Ciencia de Datos, Aprendizaje Automático e Inteligencia Artificial. Somos el socio de análisis de confianza para múltiples empresas de Fortune 500, permitiéndoles generar valor empresarial a partir de los datos. Nuestro valor comercial y liderazgo han sido reconocidos por diversas firmas de investigación de mercado, incluyendo Forrester y Gartner. Estamos buscando talento de primer nivel mientras continuamos construyendo el mejor equipo global de consultoría analítica del mundo. \r\nComo Científico de Datos Senior, aplicarás un sólido conocimiento en IA mediante el uso de aprendizaje automático, minería de datos y recuperación de información para diseñar, prototipar y construir motores y servicios de análisis avanzado de nueva generación. Colaborarás con equipos multifuncionales y socios comerciales para definir el enunciado técnico del problema y las hipótesis a probar. Desarrollarás modelos analíticos eficientes y precisos que imiten decisiones empresariales e incorporarás esos modelos en productos y herramientas de datos analíticos. Tendrás la oportunidad de impulsar la estrategia actual y futura aprovechando tus habilidades analíticas, asegurando el valor empresarial y comunicando los resultados.\r\n\r\nPrincipales Responsabilidades\r\n Actuar como recurso para crear agentes de IA y bases de datos RAG para resolver problemas. 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Nuestro sistema operativo impulsado por inteligencia artificial, ONE, permite a las marcas diseñar, vender y fabricar productos de forma eficiente y sostenible. Resonance ONE impulsa la creación de prendas de extremo a extremo con un impacto ambiental mínimo, eliminando la sobreproducción y el inventario innecesario.\r\nCon sede en la ciudad de Nueva York y Santiago, República Dominicana, Resonance colabora con marcas líderes, incluyendo THE KIT y Rebecca Minkoff, para reducir significativamente el uso de recursos: 97 % menos de tinte, 70 % menos de agua y 50 % menos de material en comparación con marcas tradicionales de moda.\r\n\r\nSobre el Puesto\r\nEstamos buscando un Ingeniero de Datos y Analítica talentoso para construir, mantener y escalar nuestra infraestructura de datos. Tendrá un papel fundamental en el desarrollo de nuestras capacidades analíticas, permitiendo a Resonance aprovechar eficazmente información basada en datos a través de nuestra compleja y tecnológica pila integrada.\r\nEn este puesto, desarrollará y mantendrá tuberías ELT robustas, transformando datos de diversas fuentes, incluyendo datos de telemetría, Shopify, SendGrid, CreateOne y otras plataformas internas, en conjuntos de datos estructurados y accesibles dentro de Snowflake. Además, creará modelos LookML sofisticados para impulsar análisis interactivos, paneles de control y herramientas de exploración utilizados diariamente por nuestros equipos comerciales.\r\n\r\nResponsabilidades\r\n Diseñar, construir y mantener tuberías ELT escalables que transformen de forma confiable datos crudos de fuentes como Shopify, SendGrid, servicios de telemetría y aplicaciones propietarias (CreateOne) hacia nuestro lago de datos y almacenes de datos en Snowflake.\r\n Crear modelos de datos eficientes y mantenibles dentro de Snowflake que sirvan como base para análisis, informes y toma de decisiones basada en datos.\r\n Desarrollar y perfeccionar modelos LookML, permitiendo la exploración intuitiva, paneles de control y análisis accionables para usuarios comerciales no técnicos.\r\n Colaborar estrechamente con equipos de producto, ingenieros y partes interesadas comerciales para identificar necesidades de datos, recopilar requisitos y entregar soluciones de alto impacto.\r\n Mejorar continuamente la calidad, gobernanza y accesibilidad de los datos, implementando las mejores prácticas en gestión de datos y cumplimiento normativo.\r\n Monitorear y optimizar proactivamente el rendimiento, la confiabilidad y la rentabilidad de las tuberías ELT.\r\n Mantenerse actualizado sobre las últimas tecnologías, enfoques y herramientas analíticas en ingeniería de datos para garantizar que Resonance mantenga capacidades líderes en la industria.\r\n Requisitos\r\nCalificaciones mínimas\r\n 4 o más años de experiencia relevante en ingeniería de datos, ingeniería analítica o campo relacionado.\r\n Alta competencia en la creación de tuberías de datos ELT/ETL robustas utilizando herramientas y prácticas modernas.\r\n Experiencia práctica con Snowflake o plataformas similares de almacén de datos en la nube.\r\n Competencia en SQL y técnicas de modelado de bases de datos para análisis.\r\n Experiencia en la creación de capas analíticas y modelos semánticos (se prefiere fuertemente LookML; se considerará experiencia con herramientas de BI similares como dbt o Tableau).\r\n Familiaridad con la integración de datos de fuentes externas como Shopify, SendGrid u otras plataformas SaaS.\r\n Mentalidad analítica sólida, capacidad para resolver problemas y atención al detalle.\r\n Excelentes habilidades de colaboración y comunicación en entornos remotos y multifuncionales.\r\n \r\nCalificaciones preferidas\r\n Experiencia previa en startups o entornos de rápido crecimiento.\r\n Conocimientos avanzados en optimización del rendimiento y gestión de costos en Snowflake.\r\n Experiencia con Looker, LookML y la creación de productos analíticos intuitivos e interactivos.\r\n Conocimientos en scripting con Python para tuberías de datos y automatización.\r\n Interés o experiencia en sostenibilidad, comercio electrónico, tecnología de moda o sectores de manufactura.\r\n Beneficios\r\nOfrecemos beneficios integrales (médicos, dentales y de visión), salario competitivo, participación en acciones y flexibilidad para trabajar de forma remota. \r\nResonance Companies es un empleador que ofrece igualdad de oportunidades, comprometido con la diversidad, la inclusión y la innovación. Todas las decisiones de empleo se basan únicamente en calificaciones, mérito y necesidades del negocio.\r\n","price":"Salario negociable","unit":"per year","currency":null,"company":"Workable","language":"es","online":1,"infoType":1,"biz":"jobs","postDate":"1756713201000","seoName":"data-and-analytics-engineer","supplement":null,"author":null,"originalPrice":null,"soldCnt":null,"topSeller":null,"source":1,"cardType":null,"action":"https://us.ok.com/es/city-new-york/cate-business-systems-analysts/data-and-analytics-engineer-6339200441395312/","localIds":"1444","cateId":null,"tid":null,"logParams":{"tid":"b58e2586-b538-4069-97e6-07b1713449c7","sid":"0828f3cf-3997-4289-9a93-3385d2f2697b"},"attrParams":{"summary":null,"highLight":["Crear tuberías ELT escalables","Desarrollar modelos LookML para análisis","Colaborar con equipos multifuncionales"],"employment":[{"icon":"https://sgj1.ok.com/yongjia/bkimg/8hvituaa__w72_h72.webp","name":"Tipo de empleo","value":"Tiempo completo","unit":null},{"icon":"https://sgj1.ok.com/yongjia/bkimg/is8j0f44__w72_h72.webp","name":"Modalidad de trabajo","value":"Presencial","unit":null},{"icon":"https://sgj1.ok.com/yongjia/bkimg/ji66qqr0__w72_h72.webp","name":null,"value":"Accord,New York","unit":null}]},"addDate":1755250034483,"categoryName":"Analistas de Negocios/Sistemas","postCode":null,"secondCateCode":"info-comm-technology","kycTag":null,"pictureUrls":null,"isFavorite":false},{"category":"4000,4241,4243","location":"New York, NY, USA","infoId":"6339200182438512","pictureUrl":"https://uspic1.ok.com/post/image/fc2dfa4f-dccd-4b5b-b64c-e4037dc4d35f.jpg","videos":null,"title":"Analista de Inteligencia de Negocios","content":"Ofrecemos una emocionante oportunidad para un analista de inteligencia de negocios meticuloso y analítico que se una a nuestro equipo en nuestra oficina de la ciudad de Nueva York. Este puesto requiere una combinación de experiencia técnica, conocimientos empresariales y la capacidad de trabajar en colaboración con equipos multifuncionales.\r\nCon más de 138 años de experiencia, H&H es una empresa de ingeniería de infraestructura de servicio completo y de confianza. Nuestros clientes, incluidos propietarios de infraestructura, contratistas y colegas, confían en nosotros para soluciones de ingeniería complejas e innovadoras. Confían en nuestra capacidad probada a lo largo del tiempo para gestionar todo el ciclo de vida de un proyecto, desde la fase de estudio y planificación hasta el diseño y la construcción. 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