Azure Data Engineer -Remote- English Fluent
Aviso de fuente externaen IT Convergence
IT Convergence seeks a Senior Azure Data Engineer for a long-term project building Azure data solutions, pipelines, and self-service analytics.
Salario
No especificado
Ubicación
Buenos Aires, Argentina
Tipo de empleo
Tiempo completo
Modalidad
No especificado
Azure Data Engineer -Remote- English Fluent
Buenos Aires, Argentina
Descripción del empleo
About the role
IT Convergence is looking for a Senior Azure Data Engineer for a long-term project. The role focuses on designing, developing, and optimizing modern data solutions on Microsoft Azure, with self-service data platforms and analytics that enable business and technical users to access, transform, and consume trusted data independently. Fluent English is required.
Responsibilities
- Design, develop, and maintain scalable data pipelines and data architectures using Microsoft Azure.
- Build and optimize ETL/ELT processes for large and complex datasets.
- Develop data solutions using Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and related Azure services.
- Implement and support self-service data and analytics solutions.
- Develop and maintain data models, transformations, and integration processes.
- Ensure data quality, reliability, security, and performance across data platforms.
- Collaborate with Data Analysts, Data Scientists, BI teams, and business stakeholders.
- Monitor and troubleshoot data pipelines and production processes.
- Contribute to data governance, documentation, and best practices, and participate in architecture and technical design decisions.
Requirements
- Strong hands-on experience designing, developing, and optimizing modern data solutions on Microsoft Azure.
- Solid experience with self-service data platforms and analytics.
- Fluent English.
Datos clave
- Long-term project.
- The role requires fluent English.
- The work focuses on Azure data solutions and self-service analytics.
Preguntas frecuentes
What does the role involve?
It involves designing, developing, and optimizing data solutions on Microsoft Azure, including scalable pipelines and self-service analytics.
What experience is required?
The source calls for strong hands-on experience with modern data solutions on Microsoft Azure and solid experience with self-service data platforms and analytics.
What language proficiency is required?
Fluent English.