AZURE Cloud Data Engineer

Descripción de la oferta de empleo

Perfil buscado (Hombre/Mujer)

• Data Processing: implement, at a low level, quality, security and rules in the processes defined by the government function.
• Data Wrangling: implement ETL processes using programming languages, in order to offer users datasets that can be easily managed.
• Data Cleaning: implement the necessary data quality and data curation processes to guarantee the delivery of data products.
• Data monitoring: implement monitoring processes to ensure complete monitoring of data pipelines, implement control models that generate metrics for data quality analysis.
• Data Pipeline Generation: develop scalable, flexible and high-performance data pipelines.
• Tools Development: develop the necessary tools that allow the implementation of analytical and governance activities.
• Data Quality Assurance: implement quality validations when a new data is going to be ingested in the platform
• Data Integration: implement all the necessary integration processes to ingest data from the different systems to the data platform and develop the services and APIs to integrate the machine learning models and data feeds with the rest of the systems.


• Empresa Multinacional|Crecimiento y desarrollo
• Bachelor´s degree in Computer Science, Information Technology, Engineering, or equivalent experience (highly preferred)
• Certifications in one or more of the following technologies: Azure Data, Analytics, AI, and Machine Learning (recommended)
• Experience designing and developing data integration solutions.
• Extensive experience in programming languages ​​(Python and SQL).
• Build large systems to store data, develop it and test it.
• Manage processing systems and large-scale databases
• Knowledge of SAP BI/BW is an asset
• Good communication skills
• Fluent in English


Multinational company


Oportunidades de carrera y desarrollo profesional.#LI-DNP

50% teletrabajo

Madrid centro

Otros detalles de la oferta

• Madrid - España
  Ubicación
• Big Data
  Funciones
• Jornada completa
  Jornada
• 3 años
  Experiencia
• Indefinido
  Tipo contrato
• Azure ETL