
201 - 500 employees
Founded 2005
🤝 B2B
🤖 Artificial Intelligence
🏢 Enterprise
B2B • Artificial Intelligence • Enterprise
SQDM is a Latin America–based IT services and talent provider that helps enterprises implement and manage Salesforce ecosystems, Boomi integrations, intelligent process automation (BPM and RPA), business intelligence and AI solutions. The company operates as a software factory offering quality assurance, custom development, and nearshore bilingual teams aligned with U. S. time zones, and brings nearly 20 years of experience serving sectors like telecom, insurance and education.
🕒 April 15
🗣️🇪🇸 Spanish Required
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201 - 500 employees
Founded 2005
🤝 B2B
🤖 Artificial Intelligence
🏢 Enterprise
B2B • Artificial Intelligence • Enterprise
SQDM is a Latin America–based IT services and talent provider that helps enterprises implement and manage Salesforce ecosystems, Boomi integrations, intelligent process automation (BPM and RPA), business intelligence and AI solutions. The company operates as a software factory offering quality assurance, custom development, and nearshore bilingual teams aligned with U. S. time zones, and brings nearly 20 years of experience serving sectors like telecom, insurance and education.
• Desarrollo y ajuste de notebooks en Databricks • Transformación de datos • Manejo de Spark / PySpark • Integración con Data Lake y fuentes estructuradas • Participación en pipelines de datos en entornos cloud
• Tecnólogo o profesional en Ingeniería de Sistemas, Software, Datos o carreras afines. • Mínimo 3 años trabajando en procesos ETL/ELT • Experiencia en integración, transformación, migración y validación de datos en entornos empresariales • Experiencia clave en Databricks: Desarrollo y ajuste de notebooks, Transformación de datos, Manejo de Spark / PySpark, Integración con Data Lake y fuentes estructuradas, Participación en pipelines de datos en entornos cloud • Conocimientos técnicos: Databricks, SQL avanzado, ETL/ELT y modelado de datos, PySpark o Spark, Azure Data Factory, Synapse y Data Lake, Integración de múltiples fuentes de datos, Calidad, validación y control de errores, Azure DevOps o herramientas de versionamiento
• Trabajar en entornos analíticos y cloud • Oportunidades de desarrollo profesional
Apply Now🕒 April 7
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🗣️🇪🇸 Spanish Required
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