Dresden Partners Community
Recruitment • B2B • HR Tech
<Dresden Partners Community> is a nearshore staffing and talent management firm that helps companies connect with and manage specialized IT and Operational Technology (OT) professionals. Founded in 2004 with delivery centers in Mexico City, Guadalajara, and California, the company provides services including nearshore recruiting, employer-of-record (EOR), team management, IT support and equipment leasing to support clients’ digital transformation and remote engineering needs. Dresden Partners focuses on aligning hiring solutions with clients’ mission and goals to reduce cost and time while supplying pre-vetted software engineers, cybersecurity, cloud, data, and other technical specialists.
11 - 50 employees
Founded 2002
🎯 Recruiter
🤝 B2B
👥 HR Tech
Senior Data Engineer
Job not on LinkedIn
October 10
🗣️🇪🇸 Spanish Required
Dresden Partners Community
Recruitment • B2B • HR Tech
<Dresden Partners Community> is a nearshore staffing and talent management firm that helps companies connect with and manage specialized IT and Operational Technology (OT) professionals. Founded in 2004 with delivery centers in Mexico City, Guadalajara, and California, the company provides services including nearshore recruiting, employer-of-record (EOR), team management, IT support and equipment leasing to support clients’ digital transformation and remote engineering needs. Dresden Partners focuses on aligning hiring solutions with clients’ mission and goals to reduce cost and time while supplying pre-vetted software engineers, cybersecurity, cloud, data, and other technical specialists.
11 - 50 employees
Founded 2002
🎯 Recruiter
🤝 B2B
👥 HR Tech
📋 Description
• Diseñar, construir y operar plataformas de datos distribuidas utilizando Spark, Kafka o Flink. • Desarrollar pipelines de datos escalables capaces de manejar volúmenes a nivel petabyte. • Trabajar en modelado de datos, data warehousing y bases de datos columnares (Redshift, BigQuery). • Escribir, depurar y optimizar código en Spark usando Scala o Java. • Utilizar Python y SQL para el procesamiento y análisis de datos.
🎯 Requirements
• +6 años de experiencia en Data Engineering. • Inglés avanzado. • Spark (indispensable). • Dominio de Scala o Java. • SQL. • Experiencia práctica con sistemas distribuidos de datos y ETL pipelines.
🏖️ Benefits
• Prestaciones de ley y superiores. • Vales de despensa. • Seguro de vida. • Plan dental. • Fondo de ahorro. • Capacitaciones y más
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