Data Engineer

hace 7 meses


Buenos Aires, Argentina Ciudadela Property Management S.L. A tiempo completo

Ciudadela es una innovadora Start Up
- Prop-Tech, donde buscamos potenciar la experiência de sus clientes a través de tecnología y creatividad, brindando un trato personalizado a nuestros clientes, proveedores y socios.

Nos encontramos en constante expansión, por lo que buscamos talento proactivo y con actitud innovadora en las áreas de negocios, estrategia, finanzas, atención al cliente, contabilidad, operaciones y desarrollo de software.

Ofrecemos un entorno dinámico y creativo, basado en objetivos claros, con la posibilidad de generar un cambio significativo en las comunidades que administramos.

Si te consideras una persona creativa, con altos estándares y pasión por proponer soluciones e ideas que agreguen valor, entoncesCiudadela es el lugar para ti Únete a esta oportunidad única de ser parte de una gran compañía y dejar tu huella.

**REQUISITOS
- Conocimientos sólidos de SQL y bases de datos: Capacidad para escribir y optimizar consultas complejas, experiência con sistemas como PostgreSQL, MSSQL, etc.
- Programación en Python: Habilidades en Python para análisis de datos, scripting, y desarrollo de data pipelines, incluyendo bibliotecas como Pandas, NumPy, etc.
- Experiência en la construcción y mantenimiento de Data Pipelines: Desarrollo y mantenimiento de pipelines de datos eficientes, incluyendo conocimientos de herramientas y programación de ETL/ELT.
- Habilidades de visualización y análisis de datos: Experiência con herramientas como Looker, Tableau o Power BI.
- Comprensión de los principios de negocio y análisis estadístico: Capacidad para traducir datos en insights de negocio y entender conceptos estadísticos para analizar tendencias y patrones.
- Experiência con plataformas en la nube: Como AWS, Google Cloud Platform (incluyendo BigQuery), Azure, etc.
- Conocimientos de LLM y creación de agentes de IA
- Experiência con sistemas de streaming de datos y NoSQL: Como Kafka, Pulsar, RabbitMQ, MongoDB, Cassandra, etc.
- Habilidades en programación adicional (Java, R, JavaScript): Para desarrollo de pipelines más complejos, análisis estadístico avanzado, o dashboards personalizados.
- Conocimientos en ciberseguridad y privacidad de datos: Mejores prácticas para la seguridad y privacidad de los datos


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