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Urgent! Especialista Microsoft - Hybrid Cloud/Data Engineer Job Opening In WorkFromHome – Now Hiring GBM Company

Especialista Microsoft Hybrid Cloud/Data Engineer



Job description

Descripción


Responsable de implementar, configurar, automatizar y entregar soluciones en la nube, entrega y ejecución de proyectos.

Ingeniero(a) especializado(a) en la entrega y ejecución de proyectos tecnológicos en la nube y plataformas de datos Microsoft, responsable de implementar, configurar y automatizar soluciones escalables, seguras y robustas en Azure, así como de diseñar y optimizar arquitecturas.

Este perfil se enfoca en asegurar la calidad técnica y el cumplimiento de los requerimientos de negocio, trabajando en conjunto con equipos de arquitectura para llevar a producción soluciones eficientes, garantizando la correcta ejecución de proyectos desde la consultoría y assessment hasta la entrega final, optimizando procesos y recursos para maximizar el valor de las soluciones


Responsabilidades Generales



  1. Implementar y configurar infraestructuras, servicios y plataformas en la nube conforme a la arquitectura establecida, específicamente en Microsoft Azure.

    Esto incluye ejecutar migraciones desde entornos on-premises o nubes alternativas, garantizando que las soluciones se ajusten a los diseños técnicos definidos.


  2. Diseñar y validar arquitecturas cloud alineadas con los requisitos técnicos y de negocio, colaborando con arquitectos y consultores para traducir los diseños en soluciones técnicas funcionales.


  3. Participar en pruebas, validación, puesta en marcha y transición a operación, gestionando el ciclo completo de delivery, que incluye planificación, ejecución, seguimiento y cierre del proyecto.


  4. Identificar oportunidades de mejora técnica durante el proceso de delivery y proponer ajustes que no comprometan la integridad del diseño base.


  5. Garantizar la documentación técnica precisa y completa de configuraciones, procedimientos de entrega, pruebas y monitoreo de las soluciones implementadas.


  6. Familiaridad con metodologías ágiles (Scrum, Kanban) y herramientas de seguimiento como Jira, Azure Boards o similares.


  7. Colaborar con el equipo de arquitectura y desarrollo para asegurar la viabilidad técnica de las soluciones.



Responsabilidades Cloud Architect Delivery - Azure



  1. Configurar servicios de Azure (App Services, Azure Functions, Azure Storage, Azure SQL, entre otros) para soportar aplicaciones y flujos de datos.


  2. Dominio de servicios clave de Azure: Azure Virtual Machines, App Services, Azure Storage, Azure Networking (VNET, NSG, VPN, ExpressRoute) , Azure Active Directory, Key Vault, Azure Monitor, Azure Policy, Defender for Cloud, IaaS, PaaS, entre otros.


  3. Automatizar la provisión de recursos en Azure usando Infrastructure as Code (IaC) con herramientas como Terraform , Bicep o ARM templates .


  4. Configurar redes, seguridad, almacenamiento, identidades y servicios de cómputo en Azure (IaaS, PaaS).


  5. Experiencia en scripting con PowerShell y/o Azure CLI .


  6. Ejecutar el delivery completo de proyectos basados en Microsoft Azure, desde la etapa de consultoría y assessment hasta la implementación, validación y puesta en producción.


  7. Planificar, coordinar y gestionar actividades técnicas para asegurar la correcta migración de sistemas y datos desde ambientes on-premises o nubes externas hacia Azure.


  8. Conocimientos de DevOps y CI/CD en Azure DevOps o GitHub Actions.



Responsabilidades Cloud Architect Delivery - Data



  1. Liderar la implementación técnica de arquitecturas de datos escalables y robustas utilizando servicios de Azure Data, como Azure Data Factory, Synapse, Databricks, Azure SQL, Microsoft Fabric y CI/CD.


  2. Diseñar y desarrollar pipelines ETL/ELT eficientes para integrar y transformar datos provenientes de múltiples fuentes.


  3. Analizar y optimizar el rendimiento de bases de datos SQL, asegurando la integridad, calidad y disponibilidad de la información.


  4. Desplegar soluciones de analítica avanzada, Machine Learning e inteligencia artificial, integradas dentro del ecosistema Microsoft Data Platform.


  5. Colaborar con equipos multidisciplinarios para alinear las soluciones de datos con los objetivos de negocio y requisitos técnicos.


  6. Realizar evaluación y selección de tecnologías y herramientas adecuadas para cada proyecto, garantizando escalabilidad y sostenibilidad.


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Required Skill Profession

Desarrollo De Software



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