AWS: The First Choice for Data Engineers


AWS certification has become the new rave for data technologists as it has been ranked as the most in-demand skill for Data Engineers.

Therefore, Amazon Web Services became the number one cloud computing platform after its mother company, Amazon, introduced its packed features and the services it has to offer.

Consequently, programmers and data enthusiasts work with AWS and want to become certified users.

Amazon Web Services

It is a protected cloud services platform, that provides scheming power, database storage, and content conveyance,

It also works as functionality to help developers scale and grow their web computing.

In other words, it is a subsidiary of Amazon that provides cloud computing services and APIs.

What Is AWS Used For?

It is used to run web and application servers, preserve databases, host static and dynamic files using a Content Delivery Network (CDN), and quickly deliver files around the world.

Furthermore, its services include an inclusive diversity of databases that are resolution-built for diverse types of applications.

It has the principal and most active community with millions of active customers, tens of thousands of cohorts globally, and thousands of schemes integrators who concentrate on its services.

Subsequently, amazon services allow you to compile analytics reports and mobile application usage data.

How to Become an AWS Data Engineer

To become a Data Engineer, you need to earn a certificate by taking exams. Therefore, you should join the talents of a data technologist who is undergoing training to sharpen your skill-set and network.

AWS Data Engineer Certification

To become a data engineer, you should get an AWS certificate.

It offers a Developer and Architecture Center for users to find developmental tools, learning resources, or documentation. It is structured as a flexible and safe cloud environment obtainable recently.

Moreover, there are various free training, tutorial, and certification for beginners on the internet that can help you get started. However, you can also get these courses directly from Amazon.

Which AWS Certification Is Best for a Data Engineer?

If you are new to the amazon web services, you should start with AWS Solutions Architect Associate or Cloud Practitioner certification exams.

Additionally, there is also the Certified Big Data for individuals that carry out complex Big Data analyses

AWS Data Engineering Tools

The many tools that it provides are vast and of very importance to a data engineer. As a result, you can carry out web services across various sections

They help offer a vast option for engineers thus creating an easy workflow.

1. Fault injection simulator

AWS Fault Injection Simulator is a self-maintained service that enables the enhancement of the application’s performance observability, and resiliency by running culpability injection trials.

2. Aws x-ray

AWS X-Ray Amazon Web Services offers X-Ray, which allows you to debug and analyze distributed applications

3. Corretto

Corretto is a free, open-source project under the GPL license that will provide long-term support for the Open Java Development Kit (OpenJDK)

SEE: 4 Tech Services to Scale Up a Business

4. CloudShell

AWS CloudShell is a protected browser-based tool that aids in managing your AWS resources.

5. Cloud9

Amazon Web Services (AWS) offers a cloud-based integrated development environment (IDE) called Cloud9. This is a tool that assists in running, writing, and debugging codes.

6. CodeStar

Consequently, it allows you to easily manage your software system development actions in one place and swiftly advance, build, and deploy applications on AWS.

7. Codebuild

AWS CodeBuild is a management service that accumulates foundation code, runs tests, and produces software packages that are ready to deploy.

CodeBuild scales continuously and processes multiple builds concurrently, so your builds are not left waiting in a queue.

8. CodeDeploy

It helps you rapidly release new features and avoid downtime during application deployment.

In addition, it handles all the complexity of applying updates to your applications.

9. CodeCommit

AWS CodeCommit is a secure and scalable private Git repository that makes it easy to manage source code additionally and throughly.

10. CodePipeline

You can automate your release pipelines for fast and reliable applications and also infrastructure updates with a continuous self-managed delivery service.

11. CodeArtifact

AWS CodeArtifact is a self-service repository that makes it easy to securely store, and publish. therefore making it easy to share software packages used in development.


In conclusion, engineers with data expertise find Amazon Web Services a useful tool.

Furthermore, companies like DevCenter Innovation, Adobe, Chef, Citrix, Coinbase, BMW, British Gas, Baidu Comcast, Coursera Disney, Alcatel-Lucent, McDonald’s, NASA Dow Jones, and Nokia all use AWS.

3 thoughts on “AWS: The First Choice for Data Engineers”

  1. Pingback: 4 Tech Services to Scale Up a Business - Devcenter Innovation

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