En AD4 Octógono buscamos un/a Data Engineer para incorporarse a un proyecto orientado a reforzar y evolucionar la infraestructura de datos existente.
La persona seleccionada trabajará en la integración de diferentes fuentes de información y bases de datos , desarrollando y manteniendo pipelines de datos y contribuyendo a mejorar la eficiencia, calidad y disponibilidad de la información.
Buscamos un perfil con 2-4 años de experiencia , autonomía técnica y capacidad para comprender una infraestructura existente, ejecutar las líneas de trabajo ya definidas y proponer mejoras sobre los procesos y flujos de datos.
No se requiere definir la arquitectura completa desde cero, sino ser capaz de entender, mantener y evolucionar el ecosistema actual .
Funciones y responsabilidades
Desarrollar y mantener pipelines de datos ETL/ELT .
Integrar diferentes bases de datos, APIs y fuentes de información .
Desarrollar procesos de transformación y procesamiento de datos.
Trabajar con SQL para la transformación, extracción y optimización de datos.
Utilizar Python para procesamiento, transformación y automatización de procesos.
Participar en el modelado y estructuración de datos .
Trabajar sobre arquitecturas Data Warehouse y Data Lake .
Integrar y gestionar fuentes de datos en entornos Cloud .
Analizar procesos y flujos de datos para identificar oportunidades de mejora.
Aplicar mejoras orientadas a la eficiencia, rendimiento y escalabilidad de los procesos.
Implementar mecanismos de calidad del dato, monitorización y gestión de errores .
Trabajar con Git y aplicar buenas prácticas de desarrollo.
Analizar y comprender la infraestructura de datos existente.
Ejecutar las líneas de acción y evolución tecnológica ya identificadas.
Proponer mejoras técnicas sobre la infraestructura y los procesos existentes.
Colaborar con otros equipos técnicos para garantizar la disponibilidad y calidad de los datos.
Requisitos imprescindibles
2-4 años de experiencia en Data Engineering o posiciones similares.
Experiencia en desarrollo y mantenimiento de pipelines ETL/ELT .
Experiencia en integración de bases de datos, APIs y diferentes fuentes de información .
Buen dominio de SQL , incluyendo transformación y optimización de consultas.
Conocimientos de Python aplicado al procesamiento, transformación y automatización de datos.
Experiencia en Data Modeling y estructuración de datos.
Conocimientos de arquitecturas Data Warehouse / Data Lake .
Experiencia con al menos un entorno Cloud: Azure, AWS o GCP .
Capacidad para detectar y aplicar mejoras de rendimiento y eficiencia .
Conocimientos de Data Quality , monitorización y gestión de errores.
Experiencia con Git y buenas prácticas de desarrollo.
Capacidad para trabajar sobre una infraestructura existente, comprenderla y evolucionarla.
Autonomía técnica y capacidad para ejecutar líneas de trabajo ya definidas.
Skills clave
Data Engineering · SQL · Python · ETL/ELT · Data Pipelines · Data Modeling · APIs · Data Warehouse · Data Lake · Cloud · Git · Data Quality
Perfil que buscamos
Buscamos una persona con capacidad de análisis, autonomía y orientación a la mejora continua.
Será especialmente importante la capacidad para entender rápidamente un entorno de datos existente , trabajar de forma autónoma sobre él y aportar mejoras sin necesidad de comenzar el diseño desde cero.
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