GCP Data Engineer
hace 3 semanas
Mindtech es la puerta de entrada a proyectos tecnológicos emocionantes e impactantes. Nos especializamos en vincular el talento latinoamericano con oportunidades globales. Nuestro enfoque rápido y eficiente garantiza que nuestros clientes reciban un servicio excepcional y soluciones innovadoras. Con un equipo diverso de más de 70 profesionales capacitados en América Latina y los EE. UU., estamos comprometidos a brindar software que impulse el éxito.
Descripción del puesto:
Estamos buscando un GCP Data Engineer para unirse a nuestro equipo y trabajar en un desafiante proyecto para México. El ingeniero será responsable de diseñar y supervisar proyectos Data Cloud enfocados en migraciones a nube, almacenamiento, ETLs y Data. El rol implicará tanto liderazgo como participación activa en desarrollo y destrabe de complicaciones. Gestionar efectivamente tiempos, deadlines y equipos de trabajo será crucial para el rol.
Responsabilidades clave:
- Diseño de Soluciones de Datos: Crear arquitecturas de datos escalables en GCP, adaptadas a las necesidades de análisis y almacenamiento.
- Modelado y Almacenamiento de Datos: Desarrollar modelos de datos eficientes y seleccionar tecnologías como BigQuery, Bigtable y Cloud Storage.
- Integración y Procesamiento de Datos: Implementar ETL/ELT con herramientas como Dataflow y Dataproc para integrar datos de múltiples fuentes.
- Optimización del Rendimiento: Mejorar la eficiencia de las consultas y optimizar la infraestructura de datos para maximizar el rendimiento.
- Cumplimiento y Seguridad de los Datos: Asegurar la privacidad y el cumplimiento normativo mediante IAM y políticas de protección de datos.
Ofrecemos
- Salario competitivo en USD
- Esquema de trabajo 100% remoto.
- Clases de ingles in company y descuentos en Open English
- Acceso a programas de descuentos en productos de consumo
- Descuentos en plataformas de cursos y aprendizaje
- Oportunidades de aprendizaje en un entorno desafiante y en proyectos internacionales
- Trabajar en un entorno colaborativo y flexible
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