Data Engineer Jr
hace 7 días
Data Engineer Jr.
**¿Quiénes somos?**
¿Quieres ser parte de una compañía que hace la diferencia alrededor del mundo? En Unilever, tenemos un propósito claro - hacer que la vida sostenible sea algo común. A través de nuestras 400 marcas que llegan a 2.5 mil millones de personas todos los días, nuestro objetivo es generar un impacto social positivo a nível mundial y local. Con nuestras marcas domésticas, como Lipton, Knorr, Dove, Hellman's y Axe, estamos creando un futuro brillante para nuestros clientes, nuestro negocio y nuestro planeta, y tu puedes ser parte de él.
**¿Qué buscamos?**
Encargado de la recolección, almacenamiento, transformación y gobernanza de los datos para la creación de reportes con ayuda de herramientas de Azure que ayuden al análisis para la toma de decisiones en distintas partes del negocio.
Localidad: Centroamérica.
**¿Qué harías?**
- Creación de los elementos necesarios para la realización de los diferentes reportes.
- Responsable de la actualización y mantenimiento de los reportes como Avance de Ventas, Mercado e Innovaciones.
- Creación de nuevos reportes desde su ingesta, limpieza de datos, flujo de datos, construcción de tablas de hechos y dimensiones, modelado de datos, creación de cubos, creación de dax y visuales para el consumo en PowerBI.
- Conocimiento en Web Scraping para reporte de Detergentes dandole mantenimiento y actualizandolo cada semana.
- Actualización y mantenimiento para los reportes de Avance de Ventas, Sell In Historico, Innovaciones y Mercado.
- Analizar que la información reportada sea la correcta y entender para que le sirve al usuario.
- Migración de ciertos reportes de un ambiente actual al otro validando que el traspaso sea el correcto y su información este completa.
- Aprendizaje de nuevas herramientas o formas de trabajo tales como DevOps o Scrum.
**¿Qué necesitas para aspirar a la vacante?**
- Profesional Universitario en Ingeniería de Sistemas, Lic. en Tecnologías de la Información o afines
- Conocimientos en: Excel (Macros y Tablas Dinámicas), SAP, PBI, Connect. Lenguajes: SQL, DAX, Pyspark, Python.
- Synapse, Analysis Services, Databricks, Data Factory, Adls Gen 2, DevOps, Web Scraping.
- Data Modeling, Data cleaning, Data Flows, Data Transformation, Query Tuning.
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