Data Engineer – Microsoft Fabric Support
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Job Description
Data Engineer specializing in Microsoft Fabric responsible for supporting analytics solutions. Collaborating on data architectures and optimizing existing analytics processes while working remotely in Mexico.
Responsibilities:
- Darás soporte y mantenimiento a pipelines de datos y procesos ETL/ELT en entornos productivos.
- Diagnosticarás y resolverás incidencias técnicas relacionadas con modelos de datos, pipelines y procesos de transformación.
- Monitorearás la salud de las soluciones analíticas mediante herramientas de observabilidad y alertamiento.
- Optimizarás consultas, pipelines y modelos de datos para mejorar rendimiento y escalabilidad.
- Colaborarás en la orquestación de procesos de datos y automatización de flujos dentro del ecosistema de datos.
- Participarás en estrategias de CI/CD y despliegue de artefactos de datos en distintos ambientes.
- Brindarás soporte técnico a clientes, participando en sesiones de troubleshooting y resolución de incidencias.
- Documentarás soluciones y procedimientos para fortalecer la base de conocimiento del equipo.
- Colaborarás con el equipo para proponer mejoras continuas en la arquitectura de datos existente.
Requirements:
- Inglés intermedio.
- Experiencia como Data Engineer o Data Platform Engineer trabajando con arquitecturas modernas de datos.
- Experiencia con Microsoft Fabric o ecosistemas analíticos basados en lakehouse.
- Dominio de SQL (T-SQL o Spark SQL) para transformación y análisis de datos.
- Experiencia desarrollando pipelines con Python / PySpark.
- Conocimiento en modelado de datos para Data Warehouse o Lakehouse.
- Experiencia trabajando con grandes volúmenes de datos y procesos ETL/ELT.
- Experiencia monitoreando y optimizando pipelines y procesos de datos en producción.
- Conocimiento en integración de datos mediante APIs o formatos semi–estructurados (JSON).
- Experiencia trabajando con repositorios de código y procesos CI/CD.
Benefits:
- Cultura enfocada en bienestar y balance de vida.
- Oportunidades de desarrollo profesional y aprendizaje continuo.
- Participación en proyectos innovadores de datos e inteligencia artificial.
- Colaboración con equipos multidisciplinarios y clientes de alto impacto.
- Espacios para impulsar tu creatividad y crecimiento profesional.
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