AWS-Certified Data Engineer: Guide to Your New Career [2025]
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The widespread demand for data engineering professionals meets a modern requirement that cloud platforms deliver through AWS systems.
Career development in data engineering will greatly benefit from earning an AWS-certified data engineer credential.
AWS data engineer certification confirms your mastery of AWS data services, thus boosting your prospects for obtaining well-compensated positions in the technical field.
This blog will cover everything you need to know about AWS Data Engineer Certification:
Table of content
Why AWS Data Engineer DEA-C01 Certification?
According to datanerd (Skill & Pay Research Portal), let’s understand the Job requirement in AWS vs Azure vs GCP.
Now let’s see the Market Share of Data Engineering Job Postings by Country.
| Location | AWS | Azure | GCP |
| Global | 39.3% | 35.6% | 11% |
| United States | 45.6% | 35.7% | 11.2% |
| India | 37.4% | 35.8% | 14.1% |
| UK | 33.2% | 40% | 14% |
| Canada | 32.9% | 36.9% | 15.2% |
Clearing AWS data engineering certification can give you good rewards in terms of cracking a job in Data Engineering.
Who should go for AWS Data Engineer Certification?
- ETL Developers/ Tester/ BI Developers – Traditional On-prem is gone and most of the companies already migrated to cloud. To survive in this Cloud era, for sure ETL/ BI Professionals have to upgrade to cloud based Data Engineering skills.
- Database Administrators – Traditional DBA jobs are losing the market. Knowing databases from scratch would be easy to transition from traditional database management to cloud-based data engineering solutions.
- QA/ Automation Engineer – Now there are very few roles for QA professionals and even DevOps engineers tasks are automated by Software developers. Instead of switching into the development side, switching into Data related jobs is a good option seeing the future growth.
- Data Analyst/ Business Analyst – Data Engineer role is the next step for Data Analyst/ Business Analyst to grow their career and your past experience will be relevant for Data Engineer roles.
- Data Scientists/ ML/ AI Engineer – Now recruiters are making Cloud as a mandatory skill for these roles, knowing Data pipelines, deployment of models on cloud would put you in top 1% of professionals in your domain.
- Anyone – If you’re a Fresher/ IT professional looking to get into a high paying, high demand job role then this AWS Data Engineer Certification is the key to unlock the doors of future proof career.
Syllabus Breakup for AWS Certified Data Engineer Certification?
The AWS Certified Data Engineer Certification presents fundamental principles which include:
| Module | Topics |
| Data Ingestion & Transformation (34%) | Batch Data Ingestion, Streaming Data Ingestion, Transform & Process Data, Orchestrate Data Pipelines |
| Data Store Management (26%) | Understanding different storage services, Data storage formats (.csv, .txt, Parquet), Data lifecycle management |
| Data Operations & Support (22%) | Automate data processing, Maintain & Troubleshoot data processing, Maintain & Monitor data pipelines, |
| Data Security & Governance (18%) | Apply authentication methods, Prepare logs for Audit,Understand data privacy & governance |
TOP AWS Services for AWS Data Engineer Certification?
1. Data Analytics Services
- AWS Glue – It’s an ETL Service that uses Spark for all your transformations.
- AWS EMR (Elastic MapReduce)- It’s a cloud-based big data platform that helps to process large amounts of data.
- AWS Kinesis – It’s a service to collect and process large streams of data (Real-Time Data).
- AWS Athena – It’s a serverless query service for analyzing data without managing infrastructure.
- Amazon Kafka (MSK) – To Handle Real-Time Streaming Data
- AWS Quicksight – A cloud BI service for data visualization and insights from multiple sources.
- Amazon Redshift – It’s a cloud data warehouse used for storing, processing, and analyzing large-scale datasets.
- AWS Airflow (MWAA) – It’s used to Orchestrate, Run and Manage Data Pipelines.
2. Database Services
- Dynamo DB – A fully managed NoSQL database for fast and scalable performance.
- Amazon RDS – A managed relational database service for scalable and automated database management.
3. Storage Services
- Amazon S3 – It’s used to store the data and used as a Datalake in AWS.
- Amazon EBS – A scalable block storage service for EC2 instances, providing persistent data storage.
- Amazon EFS – A fully managed file storage service for scalable and shared access across AWS instances.
4. Other Very Important Services
- Amazon EC2 – It is a scalable cloud computing service for running virtual servers on AWS.
- Amazon lambda – It is a serverless compute service that runs code in response to events without managing servers.
- Amazon VPC (Virtual Private Cloud) – It is a virtual private cloud that enables you to create a private network within AWS for secure resource management.
- Amazon Sagemaker – It is a fully managed service for building, training, and deploying machine learning models at scale.
- Amazon DMS (Database Migration Service) – A managed service for migrating databases to AWS quickly and securely with minimal downtime.
- AWS IAM (Identity and Access Management) – A service for managing access to AWS resources by defining user roles, permissions, and policies.
How to Prepare for the AWS Data Engineer Certification?
A systematic preparation approach must be followed by candidates who want to become AWS Certified Data Engineers. This guide will show you how to achieve your goal as follows:
1. Become A Member Of An AWS Data Engineer Certification Course
The prime method to construct a fundamental understanding is by Enrolling into Prepzee AWS Data Engineer Job Oriented Program. This Program gives learners Live Training for AWS Data Engineer Certification & Job roles with multiple assignments and Projects.
2. Take Mock Tests
Success in exams demands thorough practice of simulated tests. Taking mock exams exposes you to the AWS Data Engineer Certification test structure along with its difficult characteristics. You can use PrepZee standard practice exams which will enhance your exam confidence.
3. Schedule an Exam
To Book Your Slot for the AWS Data Engineer Certification – Visit Here
| Exam Duration | 130 Minutes |
| Exam Format | 65 Questions |
| Passing Score | 720 |
| Cost | 150 USD |
End Note : Choosing to become an AWS Certified Data Engineer in 2025 presents one of the most lucrative career options today. Data Engineer is the highest demanding job in the current world with best salary packages. Initiate your AWS data engineer boot camp with PrepZee to reach your cloud engineering objectives.
FAQ
If you fail, you can take the test again 14 days from the first. You can keep retrying, but you’ll have to pay the full test fee each time.
Your AWS Certified Data Engineer certification will last for three years. Then you’ll need to recertify by taking the current version of the exam.
If you’re looking to expand your AWS knowledge, consider these certifications:
✔ AWS Certified Solutions Architect – Associate
✔ AWS Certified Machine Learning – Specialty
✔ AWS Certified Security – Specialty
For more learning paths and study materials, check out Prepzee AWS Courses.
Getting AWS Certified has various advantages, which are:
- Greater career opportunities and more pay.
- Industry reputation and credibility.
- Special AWS certification badges and privileges.
- Describe how you would build a data pipeline on AWS.
- How would you improve Redshift performance?
- How are EMR and Glue different from each other?
- How would you manage schema evolution in AWS?
Explain a situation where you utilized AWS Lambda in a data pipeline.
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