Data Engineering Technician

General Information

The Data Engineering Technician is designed for those who wish to start or strengthen their training in the data field through a progressive, practical path aimed at building solutions to collect, store, transform, process, and make information available to different systems and users.

Throughout the program, you will learn from the fundamentals of programming and data management to the use of databases, processing large volumes of information, Business Intelligence, and Data Mining, progressively incorporating concepts and practices related to data engineering.

The technical training is complemented by the progressive learning of English, with the aim of preparing the student to navigate more confidently in a professional area where a large part of the documentation, tools, educational resources, and technical communication use this language. 

Training Areas

The program integrates different fundamental areas of data engineering to provide a balanced training between programming, storage, processing, analysis, information integration, and practical application.

• Programming and problem solving: You will develop the necessary foundations to understand problems, design solutions through algorithms, and use programming as a tool to process, transform, and manage information.

• Fundamentals of Data Engineering: You will learn the role that data engineering plays within an organization and understand how data can go through different stages from its generation and storage to being available for use in systems, analysis, and decision-making processes.

• Programming applied to data: You will use programming to work with different structures and datasets, perform transformations, automate tasks, and develop solutions aimed at processing information.

• Databases: You will learn principles related to the storage, organization, querying, and management of information through databases, developing fundamental knowledge to work with data in a structured and efficient manner.

• Data integration and transformation: You will learn processes through which information from different sources can be obtained, prepared, transformed, and integrated to later be used by other systems or areas of an organization.

• Big Data: You will explore the challenges that arise when the volume, variety, or velocity of data increases and learn about concepts, architectures, and tools used to work with large amounts of information.

• Business Intelligence: You will understand how data can be organized and prepared to support analysis and decision-making processes, relating data engineering to business intelligence solutions.

• Data Mining: You will learn techniques and concepts aimed at exploring data sets and identifying patterns, relationships, and behaviors that allow for valuable insights.

• English applied to the technological environment: English is progressively developed as a complementary skill to technical training. In addition to strengthening communication skills, it will allow the student to navigate more comfortably through documentation, tools, and contexts specific to the technology and data industry.

• Project development: Projects allow for the integration of knowledge acquired during different stages of the program. The student will need to analyze needs, work with information, make technical decisions, and build solutions that demonstrate their evolution during training.

Program Data

What and how will you learn? 

Learning Data Engineering involves much more than storing information or querying a database. During the program, you will learn to understand how data is generated, how it can be organized, stored, transformed, and processed, and how it can be made available to other technological solutions in a structured manner. The goal is for you to understand not only how to work with data but also how to build the processes and structures that allow that data to be used in an organized, consistent, and reliable manner.. 

You will start by developing programming fundamentals and understanding the data ecosystem. You will then advance to programming applied to Data Engineering, databases, Big Data, Business Intelligence, and Data Mining.

As you progress, you will work with increasingly complex problems and scenarios where you will need to combine knowledge from different areas to design solutions focused on managing and processing information.

Methodology

The program uses a theoretical-practical, methodology, in which concepts serve as a foundation to later apply them through exercises, practices, problem-solving, laboratories, and projects.

Classes combine conceptual explanations with demonstrations, guided activities, and spaces where the student will need to experiment, analyze information, and build their own solutions.

During the early stages, there will be greater support to develop programming, data, and database fundamentals. As the training progresses, the student will need to integrate knowledge from different courses and solve scenarios with a higher level of autonomy.

This methodology aims to promote learning through practice without neglecting the necessary fundamentals to understand why a particular solution works, what problem it aims to solve, and how it could evolve in more complex scenarios.

Evaluation and support of learning

The evaluation is part of the learning process and is not limited solely to determining a grade, but seeks to create spaces to identify strengths, analyze areas for improvement, and ensure continuous progress regarding the skills developed by the students.

Depending on the characteristics of each course, exercises, practices, laboratories, projects, evaluations, research, case studies, individual or collaborative activities, and other strategies may be used to demonstrate mastery of the corresponding knowledge and competencies.

We understand that working with programming, databases, and information processing involves experimenting, solving problems, identifying errors, and analyzing different alternatives.

For this reason, teacher support constitutes an important part of the training process. During the different courses, you will be able to ask questions, receive feedback, and obtain guidance on the content and activities developed.

Entry Profile

The program is aimed at individuals interested in starting a structured training in technology, programming, and data management.

Students are not expected to have prior mastery of programming languages, databases, or specialized Data Engineering tools, as the path begins by developing the necessary foundations to progressively advance to more complex content.

However, it will be beneficial to have a willingness to learn, an interest in technology and data, the ability to approach problems logically, curiosity about how information works within systems, and a commitment to practice outside of class.

It will also be important to maintain an open attitude towards learning English due to its presence during different stages of the program and its importance within the tech industry.

Is this program for me?

This program mey be a very good fit for you if:

• You are interested in understanding how data is stored, processed, and used within applications and organizations.

• You want to start a technology training program even if you do not have prior experience.

• You are interested in learning programming applied to the management and processing of information.

• You enjoy solving problems, organizing information, and identifying ways to automate processes.

• You want to learn about databases and understand how they relate to other technologies.

• You are interested in areas such as Big Data, Business Intelligence, and Data Mining.

• You want to understand how information is prepared before being used for analysis, reporting, or decision-making.

• You are looking for a structured training program that combines programming and data technologies.

• You want to build projects that allow you to apply the knowledge you have acquired.

• You are willing to progressively develop your technical skills and your English.

You don't need to start knowing how to program or manage databases. Our path is designed for you to build those skills progressively!

Exit Profile

Upon successfully completing the program, the student will have developed the foundations and competencies enabling them to participate in building and maintaining solutions for the collection, storage, transformation, processing, and integration of information.

You will be able to use programming to solve problems associated with data; work with databases; perform basic processes of data preparation and transformation; understand principles related to data integration; and participate in solutions associated with Big Data, Business Intelligence, and Data Mining.

Likewise, you will understand the importance of properly organizing information and will be able to generally analyze the journey that data takes from different sources until it becomes available for other systems, analysis processes, or users.

The student will also have strengthened their ability to research, learn new technologies, interpret technical documentation, and progressively communicate in English within contexts related to technology and data.

The final projects will allow the integration of these skills and demonstrate the ability to apply knowledge from different areas of the program to build a broader solution.

Professional opportunities

The training acquired provides a foundation to begin to navigate different areas related to engineering, integration, processing, and data management, and to subsequently continue towards specialization processes.

Depending on the skills developed, additional experience, technologies used, and specific requirements of each organization, the graduate will be able to direct their growth towards areas such as:

• Junior Data Engineer

• Junior ETL / Data Integration Developer

• Data solutions support

• Development and maintenance of data transformation processes

• Database support and SQL queries

• Junior Business Intelligence

• Data Warehouse / Data Integration Support

• Participation in Data Engineering teams

• Support for data platforms and processes

• Participation in Big Data related projects

• Development of proprietary technology projects related to data

• Continuity towards specializations and advanced training in technology and data

You will also be able to continue developing knowledge in areas such as Cloud Data Engineering, Data Warehousing, Data Architecture, Business Intelligence, Data Analytics, Data Science, Machine Learning, Big Data, advanced databases, distributed processing, DataOps, and other related specialties.

Training Path

The program is designed as a progressive learning path that guides the student from the fundamentals of programming and information management to the integration of knowledge in proprietary Data Engineering solutions.

The training begins with Basic Programming and Introduction to Data Engineering, where the foundations of computational thinking, problem-solving, and understanding of the data ecosystem are built. During this first stage, the student begins to learn how information is generated, stored, processed, and used within different technological solutions.

Subsequently, Programming for Data Engineering allows applying programming directly to data-related scenarios, while Databases provides fundamental knowledge to understand how structured information can be organized, stored, queried, and managed.

With this foundation, the student advances to larger scale technologies and scenarios through Big Data, where they begin to understand the challenges associated with large volumes and different types of information.

The training continues with Business Intelligence, relating the preparation and organization of data to its subsequent use for analysis and support for decision-making processes.

Subsequently, Data Mining allows exploring concepts related to the discovery of patterns and knowledge within information sets, broadening the perspective on the value that can be obtained from data once it has been properly collected, organized, and prepared.

The acquired learning begins to integrate through Final Project for Data Engineers I, where the student must analyze a need and begin building a solution using knowledge from different courses in the program.

In parallel, English I, II, III, and IV they progressively develop competencies in English that allow the student to navigate with greater confidence in academic and technological environments, where this language has a fundamental presence.

The path culminates with Final Project for Data Engineers II, in which the student integrates the technical and methodological knowledge developed during the program to complete a broader solution related to data processing, storage, transformation, or integration.

In this way, the program seeks for the student not to be limited to learning isolated tools, but to understand how different technologies, processes, and knowledge relate to each other to build useful data solutions within a technological environment..