learning map

Software Engineer

Data & Analytics Engineer

Welcome to the Data & Analytics working ecosystem. A Data & Analytics Architect is a strategic profile inside a project. Combining soft, business knowledge and tech skills are able to make a direct impact on the client's needs and tackle several challenges. Data Architects are professionals prepared for analyzing different business cases, suggesting solutions based on data, creating data products or building data platforms. Once having completed these courses, you will have been introduced to the Data & Analytics world, gained hands-on experience with basic tools and acquired a theoretical knowledge which will ease your future learning. It is important to understand that no new position nor studio change is granted and that depends on several external factors which should be patiently evaluated for each individual scenario. Powered by Data & Analytics Studio



Fundamentals (Python + Linux)

A DA needs to be ready to code and currently Python is the most widely used programming language for data. Combined with linux, this sections provides the desired minimum programming skills.

Skills (10)

Data models

Choosing the most appropriate data model for your project is not trivial. As a DA, you are expected to be able to define what are the pros and cons of each model for your use case and make the final choice. This module will guide you to the right decisions.

Skills (14)

Hadoop ecosystem

The Apache Hadoop software library is a framework that allows the distributed processing of large data sets across clusters of computers using simple programming models, designed to scale up from single servers to thousands of machines. Apache Spark is an open-source distributed general-purpose cluster-computing framework. Understand how to analyze problems and drive to solutions using data, Hadoop main concepts and architecture, Map Reduce Essentials and Spark main concepts, architecture and basics.

Skills (22)


Learn to boost your knowledge and experience in different methodologies such as agile-lean practices, risk management, secure coding, devops, etc. in order to increase delivery time and quality

Skills (11)

Agile Mindset



Design thinking


POD Methodology


Risk Management

Technical Mastery XP


Secure Development

Talent Manifesto

At Globant, we believe that talent is not a special gift; it is something that can be developed! With that in mind, You can take these opportunities to develop the nine soft skills that describe abilities to act in alignment with Globant’s values. This manifesto will nurture your career!

Skills (9)

Clear Thinker





Fast Learner




1 resource