Data Engineer - Talent Pool (Latam talent)Talent Connect • Miami, Florida, .US
Data Engineer - Talent Pool (Latam talent)
Talent Connect • Miami, Florida, .US
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job_description.job_card.job_descriptionExperiencia técnica en ingeniería de datos , DataOps o desarrollo backend relacionada a datos. Conocimiento avanzado de SQL y manejo de bases de datos relacionales y no relacionales (por ejemplo : PostgreSQL, MongoDB, Snowflake, BigQuery, Redshift). Manejo de al menos un lenguaje de programación orientado a datos (Python, Scala, Java, etc.). Experiencia en herramientas de ETL / ELT (por ejemplo : Airflow, dbt, Luigi, Talend, Dataflow). Familiaridad con procesos de ingesta y procesamiento batch y streaming (Kafka, Kinesis o similar). Experiencia en cloud computing (AWS, GCP, Azure u otros), contenedores y CI / CD es un plus. Inglés técnico : nivel intermedio o superior (capacidad de lectura y documentación). Orientación colaborativa, proactividad, atención al detalle y mentalidad de mejora continua. Capacidad de análisis, curiosidad y aprendizaje autónomo. Habilidad para trabajar en equipos distribuidos y multiculturales. Buena comunicación con equipos de tecnología y negocio. Enfoque en resultados, compromiso y adaptabilidad ante nuevas tecnologías. Modalidades remotas y / o híbridas, dependiendo del proyecto (LATAM). Horario flexible y ambiente orientado a resultados. Proyectos con impacto y visibilidad regional. Cultura que promueve la diversidad e inclusión. Oportunidades de desarrollo y aprendizaje continuo.
¡Sumate a nuestra Talent Pool LATAM para Data Engineers!
Sobre el puesto en Data Engineering (LATAM talent)
¿Te apasiona el procesamiento de datos , la ingeniería de datos y la generación de soluciones escalables? Estamos conformando una Talent Pool en Latinoamérica para futuros openings de Data Engineer en Latam, USA, y España .
Empresas como Accenture, Globant, Neoris, Carrefour, Mercado Libre, Telecom, Personal Pay , demandan en forma continua perfiles de data.
Si buscas desafíos técnicos, aprendizaje constante y formar parte de equipos de alto impacto, queremos conocerte.
Responsabilidades principales en Ingeniería de Datos
- Diseñar, construir y optimizar pipelines de datos , integrando fuentes estructuradas y no estructuradas.
- Participar en el modelado de bases de datos y arquitecturas Big Data , gestionando alta volumetría.
- Implementar procesos de ETL / ELT eficientes, garantizando calidad, trazabilidad y documentación.
- Trabajar junto a equipos de Data Science , Analytics y Producto para disponibilizar información clave.
- Desarrollar y mantener APIs, automatizaciones y soluciones en la nube.
- Aplicar buenas prácticas de seguridad, performance, monitoreo y control de versiones .
Requisitos para un perfil de Data Engineer
¿Qué valoramos en nuestrxs Data Engineers?
Ofrecemos (según rol futuro)
¿Te interesa que te contactemos para oportunidades de Data Engineer en LATAM?
Postulate y sé parte de la base de talentos que será prioridad para búsquedas futuras.
¡Esperamos tu postulación! Y por favor comparte con tus colegas para que ¡se sumen también!
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Talent Pool • Miami, Florida, .US
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