Company Description Join Us! Why Talan? For the 4th consecutive year, Talan Spain has been recognized as a Great Place to Work! This year, we’re also celebrating our 2nd certification in Poland, a significant milestone since
Company Description Company Description Talan – Positive Innovation Talan is an international consulting group specializing in innovation and business transformation through technology. With over 7,200 consultants in 21 countries and a turnover of €850M, we are
Ingeniero de Datos (SSR/SR) – SAP HANA / Cloudera / Apache NiFi (Híbrido, CABA) Argentina, Bs As | Híbrido Full-time Sobre el rol Buscamos un/a Ingeniero de Datos SSR/SR para sumarse a un proyecto estratégico de migración
We are looking for a Big Data Developer to join a dynamic data team and contribute to the development, maintenance, and optimization of data processing solutions within the Client Contribution platform . The ideal candidate will
Ingeniero de Datos (SR) – Informatica Cloud / Teradata / Python (Híbrido) Argentina | Híbrido (Buenos Aires y Cordoba, resto del país Remoto) Full-time Sobre el rol Buscamos un/a Ingeniero de Datos SR para sumarse al
Desarrollador de Producto de Datos (SSR) – SQL / NiFi / PySpark / Cloudera (Híbrido) Argentina | Híbrido Full-time Sobre el rol Buscamos un/a Desarrollador de Producto de Datos SSR para sumarse a un proyecto estratégico
About The Opportunity This is a pipeline requisition for future opportunities. While we are not hiring immediately, we regularly seek top talent for this role and encourage you to express interest. Netrix Global is looking for
We are looking for a Senior Backend Spark Developer to join the Client Contribution Platform team. In this role, you will be responsible for designing, developing, and optimizing large-scale data processing solutions while driving technical decisions
Job Description About the Role We are looking for a Senior Backend Spark Developer to join the Client Contribution Platform team. In this role, you will be responsible for designing, developing, and optimizing large-scale data processing