Azure data engineer

Description

Join us in the transformation into a customer-centric company being part of our global data team to help us growing our business analytics capabilities. You will collaborate in the creation of the cloud corporate data lake working closely with stakeholders across all the areas of the company to fulfil the strategy roadmap to become a data-driven organization.

You will partner closely with business and technical teams to translate business requirements into technical specifications to define and build the overall data architecture working in a global and flexible environment.


Responsibilities

• Designs, develop and maintain data pipelines and infrastructure ensuring scalability, reliability and efficiency using Microsoft Azure services.
• Work with stakeholders to ensure that data entry, retrieval, change, and delete functions meet business requirements for project completion and data quality assurance.
• Assist in the definition and deployment of data governance processes that are scalable at corporate level.
• Assess building the company analytics roadmap in conjunction with end users, managers, and other stakeholders.



Position Requirements

Formal Education & Certification
• Bachelor/Master degree of applied science.
• Our global work environment requires fluency in spoken and written English.
• Post-graduate certification in Data management, Big Data or Analytics would be a plus.
• Azure data engineer associate certification would be a plus.


Knowledge & Experience
• Minimum of 5 years direct work experience.
• Experience with Microsoft Azure services for data engineering and hybrid landscapes with on-premises and Cloud-based components (+2 years)
• Demonstrated experience with data integration to support data marts, pipelines and insights creation.
• Comprehensive data platforms analysis and design experience, with full knowledge of data lake methodologies and data modelling applying best data quality practices.
• Experience working with visualisation tools (Power BI would be a plus).
• Experience working with big data and commonly used AI languages (R, Python, …)



Work Conditions

• Remote working is allowed with the possibility to go to the office in Bogotá as needed.
• Global responsibility. Our teams are multi-located across Europe and America.

Profesional Senior

Universitaria

Ingeniería de sistemas Computación

Ingeniería electrónica

5 años de experiencia

1 Vacante