Complete The Profession of Data Engineer, Dream Work in 2021

Data is a collection of facts to give a broad picture of a situation. A person who will take a policy or decision will generally use the data as a consideration. Through data one can analyze, describe, or explain a situation.

In general, data is widely used for a particular study. However, over time, data is needed to meet various needs in various fields. Of course, this aims to provide clear and correct information after the data is processed further. To process the data requires the profession of Data Engineer. Here is a complete explanation of the profession that many of these companies are looking for.

1. What is a Data Engineer

In short, the profession of Data Engineer is a person who organizes and manages data architecture processes in a company. The infrastructure here is in the form of databases, pipelines, or warehouses. They are tasked with building a system that can be integrated with other systems so that it can process larger-scale data easily.

Of course, if you want to become a Data Engineer you need logical skills, knowledge of databases, and programming languages. But to become a Data Engineer do not need to have a background in data education, but you still have to master these technical skills, such as:

• Programming language

Programming languages are crucial for a data scientist. With the program language you can perform numerical analysis, and statistics with large data sets. SQL (Structured Query Language) is a program language designed to manage data in relational databases and is currently the most commonly used method for accessing data in databases.

• Knowledge in the Field of Scripting

Scripting languages are used to translate code or commands within a site. You will use scripting to make the data more legible and can be more easily processed by the data manager.

• Proficient in cloud

“Cloud” stands for “cloud computing” or cloud computing, and the term refers to tasks and services provided or hosted on the internet on a pay-to-use basis. People may have long been able to store, operate, and manage data over the internet, but cloud computing is a paid service that does all this on a much larger scale.

At its core, the cloud is a digital storage unit that can store all your files; The difference is that if in a storage unit you have to be physically present to access your files, in the cloud you can access them from any device as long as the device has a connection to the internet.

Also read Belajar Data Science Secara Otodidak? Berikut langkah-langkahnya!

2. Job Description Seorang Data Engineer

Of course, the work that will be done by data engineers is not far from the capabilities that must be possessed as above. Then, anything that needs to be prepared if you want to plunge into the world of Data Engineer. Here is the job desk of a data engineer.

• Collecting and Processing Data

Each company certainly only has one source of information, therefore a Data Engineer will collect and develop data according to the needs of the company. Of course, when taking data need high caution because if the wrong input data will make invalid results.

• Cleaning Data

Second, a data engineer must be able to clean up the data after it is combined, then be able to look for anomalies in the information. Is that an anomaly? It is a process in a database that produces side effects that are not expected by data engineers.

This is usually due to the structure of the table that combines data that is still dirty and invalid because it still contains null values. So it needs special methods or treatments to be able to overcome this, where you must have expertise in making good decisions.

• Improving Data Warehouse Architecture

Data Engineers also have the task of designing the architectural structure of the data warehouse that is successfully analyzed. Which, various data that has been cleaned will be entered into the data warehouse. After that, you can simply design the data storage flow in the software (software) by defining the structure of the model using DFD, ERD, and other architectures.

3. Differences in Data Engineer, Data Scientist, and Data Analyst

The most fundamental difference between these three professions is in processing data. Where a data is first processed and processed by a data engineer. Then, after cleaning, it will be continued by data analysts to separate data that is considered important and less important, and classify various categories of data to be more easily readable by stakeholders.

Tasks from data analysts include analyzing data, reading business directions, interpreting data, and more. A Data Analyst must also have the skills to be a good Data Analyst. You must be able to mathematics and statistics, be able to analyze, present and interpret data.

The ability of a Data Scientist is not only used for coding, but also able to turn unstructured data sets into something that is easier for ordinary people to understand. As a Data Scientist is also tasked to understand business because the company needs services to produce product recommendations to be offered to consumers.

Also read Mulai Belajar Data Science GRATIS bersama DQLab selama 1 Bulan Sekarang!

4. Build Your Data Career With DQLab

Let’s build your career now together with DQLab online learning platform! Many facilities provided by DQLab for you loh.

• Quiz

DQLab itself provides quiz-quiz that can be accessed to test how much you understand the material delivered. With this quiz you can also see how well you do data analysis.

• Sign Up and get a Free Module

Sign up to get the FREE module “Introduction to Data Science” Module is available in the form of R language as well as Python. Both programming languages are the most widely used.

• Live Code Editor

With the LIve code editor for you can learn and directly apply it in practice in real time. There is a timer that can keep you from being idle for 30 minutes from the start of the session. This feature is used as a system protection mechanism in learning sessions at DQLab and ensures the security of user data.

• Certificate

Taking a certificate makes you more proficient in the field you are taking. Once you have successfully completed the modules in DQLab you will get a “Certificate of Completion”. With this you are one step ahead of becoming a data practitioner.

By John Ricky & Annissa Widya | DQLab

Kuliah di Jakarta untuk jurusan program studi Informatika| Sistem Informasi | Teknik Komputer | Teknik Elektro | Teknik Fisika | Akuntansi | Manajemen| Komunikasi Strategis | Jurnalistik | Desain Komunikasi Visual | Film dan Animasi | Arsitektur | D3 Perhotelan | International Program, di Universitas Multimedia Nusantara. www.umn.ac.id