How to Become a Data Engineer in 2023 – Salary, Skills, and Required Majors

How to Become a Data Engineer in 2023 – Salary, Skills, and Required Majors

The development of technology and information creates system changes in the company’s operations. This also ultimately makes the business

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How to Become a Data Engineer in 2023 – Salary, Skills, and Required Majors – The development of technology and information creates system changes in the company’s operations. This also ultimately makes the business adapt to existing conditions, one of which is the use of data. The existence of data is becoming increasingly important because processed data can be transformed into information that provides insight to policy makers such as company managers and investors.

The more developed a business, the greater the data generated. According to Seed Scientific, there are 44 zettabytes of data in the world in 2020 and it is predicted that it will grow to 175 zettabytes in 2025. This will ultimately make data processing software increasingly necessary for good data management. Thus, this profession is the answer to this problem which is capable of creating and managing software that can be used to transform data into useful information insights.

This article will explain to you how this profession is increasingly needed by companies. Furthermore, this article will also provide you with more detailed information about data engineers such as the tasks performed, the skills required, and the salary generated.

If you have a great interest in data processing and want to develop a career as a data engineer, then this article is the right choice for you. Thus, read the following article carefully!

Table of Contents

  • What is a Data Engineer?

  • Skills Required By A Data Engineer

  • Data Engineer Salary

  • Data Engineer Duties

  • Course Majors for Data Engineers

  • Closing

What is a Data Engineer?

A company that has a large data set makes the demand for data engineers increase. As the name implies, data refers to large data sets, while engineers or techniques refer to expertise in managing this data. As such, they have an important role in assisting data databases and building an architecture.

A data engineer is someone who is responsible for building and designing systems that collect, store, and analyze data. The software will later be used by data analysts or data scientists for further analysis to produce certain information.

Thus, they are someone who has the skills to create algorithms that can process raw data and adapt it to company goals through creating data software.

For software makers, data engineers are required to have knowledge in designing SQL databases and understand various programming languages. Furthermore, other skills are also needed such as being able to communicate with various departments so that they can make a data arrangement that suits the needs of various departments in a company.

Skills Required By A Data Engineer

As a data engineer, several skills are needed to support skills in processing data. These skills will make it easier for a data analyst to create a secure, scalable and reliable system to handle big data quickly and precisely. Thus, below we have summarized the various skills needed to become a reliable data analyst, namely as follows:

  • SQL (Structured Query Language)

SQL is a basic skill needed to enter this profession. Without understanding SQL, you will not be able to perform RDBMS ( Relational Database Management System ) management which functions to read data contained in the database, update database structures, delete structures that are no longer used in data, and so on.

As the language used to create or process databases on a website. SQL is capable of being able to run a query and execute the required data. Furthermore, SQL can also manage tables, procedures, and other important things.

  • Data Warehouses

A data warehouse is a system that combines data from multiple sources into a single data store. Furthermore, the data warehouse will also archive and analyze historical data to support the information needs of a business or organization.

Read More:- How to Become a Data Engineer in 2023