In recent years, as the importance of data analysis and machine learning has increased, the job title of data engineer has been attracting attention. However, many people may have questions such as, “What exactly does a data engineer do?” and “How is it different from a data scientist?”

In this article, we will explain in detail what a data engineer does, how they differ from data scientists, the skills they need, and their career paths.

Data Engineer Job Description

A data engineer is an engineer who builds and operates the infrastructure that collects, processes, and manages the data necessary for data analysis and machine learning .

Specifically, we carry out the following tasks:

• Select, design, and build data sources : Identify the data sources required for analysis and machine learning, and design and build a system for collecting the data.
• Data Collection : Collect data from various sources such as databases, websites, sensors, etc.
• Data processing : We process, transform, and clean the collected data so that it can be used for analysis and machine learning.
• Build a data pipeline : Build a pipeline that automates the process from data collection to processing and analysis.
• Data infrastructure operation : We monitor the stable operation of the data infrastructure and perform maintenance as necessary.
• Establish data governance : Establish rules and mechanisms to manage data quality and security.

Differences between a data scientist and a

Although data engineers and data scientists both work with data, their roles are very different.

• Data Engineer : Builds and operates the infrastructure for collecting, processing, and managing the data required for data analysis and machine learning.
• Data scientist : Uses data analysis and machine learning to solve business problems and create new value.

If a data engineer is like a craftsman who builds the foundation of data, then a data scientist is like an architect who uses that foundation to build a house .

Skills required for a data engineer

A data engineer needs to have the following skills:

• Programming skills : Skills in programming languages ​​used for data processing, such as Python, Java, and Scala, are required.
• Database skills : You need skills to work with databases, such as SQL.
• Data Analysis Skills : Skills in statistical processing and visualization of data are required.
• Cloud skills : You need skills to use cloud services such as AWS, Azure, and GCP.
• Communication skills : You need to be able to work with data analysts and business departments to understand requirements and share findings.

Data Engineer Career Path

As data engineers gain experience, they can pursue the following career paths:

• Senior Data Engineer : Responsible for building and operating more complex data infrastructure.
• Data Architect : Responsible for designing the entire data infrastructure.
• Data Scientist : You can hone your skills in data analysis and machine learning and transition into a career as a data scientist.

summary

Data engineers play an important role in supporting data analysis and machine learning. If you are interested in data and have confidence in your logical thinking and problem-solving skills, you may want to aim to become a data engineer.

The work of a data engineer is deep and rewarding. You will be able to continue learning ever-evolving technologies and be at the forefront of data utilization.

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