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Course overview
17 HOURS OF TRAINING
18 SKILLS
156 VIDEOS
0 VIRTUAL LABS
0 PRACTICE EXAMS
Scott Pletcher
Nugget trainer since 2023
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AWS Certified Data Engineer - Associate FAQs: Cost, Training, Value

Is the AWS data engineer certification worth it?

Yes, the AWS Certified Data Engineer - Associate is definitely worth it: it equips you with practical and in-demand skills related to building and managing data pipelines on AWS, the leading cloud platform. Employers know and recognize the cert as a validation of abilities in handling real-world data challenges and taking responsibility for ingestion, storage and processing. It's a worthwhile cert for enhancing career prospects related to working with data tied to AWS.

How much does it cost to earn the associate-level AWS Certified Data Engineer?

It costs $150 to take the AWS Certified Data Engineer - Associate exam (DEA-C01). You'll have 130 minutes to answer 65 questions, which gives you 2 minutes per question for the DEA-C01. If you already have any AWS certification, the next certification is 50% off, so if you already have an AWS cert, the Certified Data Engineer could cost you only $75.

What does an AWS data engineer do?

Using the AWS platform, an AWS data engineer designs, builds and manages data pipelines. An AWS data engineer is responsible for handling the entire data lifecycle, so they work with services like Kinesis and S3 to ingest the data before transforming and processing it with tools like AWS Glue or EMR. It's a data engineer's job to make sure data is accessible, secure and ready for analysis.

How much does an AWS Certified Data Engineer make?

It's almost impossible to estimate a salary for any given data engineer since there are so many variables. In the right city, a senior data engineer with years of experience could make as much as $175,000/year. An entry-level or associate data engineer is going to make much less than that, with variables like location, size of company and industry affecting the bottom line.

What is AWS particularly good at when it comes to data engineering?

The thing that makes AWS especially good for data engineering is their robust suite of interconnected services. AWS data services are scalable, reliable and highly integrated. Tools like S3 for storage, Glue for ETL, and Redshift for data warehousing make using AWS for building and managing complex data pipelines an obvious choice. AWS has a global infrastructure that enables fast, efficient processing and real-time analytics.
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