Data Engineer ( Azure)

Montevideo, Montevideo, UY

We are a digitally native technology services company where innovation, design and engineering meet scale. We use some of the latest technologies in the digital and cognitive field to empower organizations in every aspect.

Right now, we’re looking for Data Engineers to join our team at Globant!


You will get the chance to:

  • Work with professionals who have created some of the most revolutionary solutions in their fields.
  • Make an impact. Work in large-scale projects globally.
  • Develop your career within an industry or multiple industries.
  • Be empowered to choose your career path: we have more than 600 simultaneous projects, so you can choose where and how to work.
  • Be part of an agile pod. Driven by a culture of self-regulated teamwork, each team -or POD- works directly with our customers with a full maturity path that evolves as they increase speed, quality and autonomy.


What would help you succeed:

  • Advanced English skills.

  • Experience with AWS.

  • Experience with Python.

  • Experience with Shell scripting.

  • Experience with Kafka.

  • Experience with Typescript.

 

At Globant we believe that an inclusive culture and a diverse environment makes us stronger. We encourage people to have an inclusive spirit as our global footprint expands. We seek to generate a place of inspiration and growth for everyone. A safe space, based on equity as a value, where everyone's careers can be promoted and developed in the same way. There is no innovation without diversity and there is no improvement without plurality.


Are you ready?

Apply now Apply later
  • Share this job via
  • or

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Agile AWS Azure Engineering Kafka Python Shell scripting TypeScript

Region: South America
Country: Uruguay
Job stats:  5  0  0
Category: Engineering Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.