Online (proctored) via Pearson VUE or PSI. In-person at an authorized testing center.
The AWS Certified Data Engineer - Associate (DEA-C01) exam validates a candidate’s ability to implement data pipelines and to monitor, troubleshoot, and optimize cost and performance issues in accordance with best practices.
The exam also validates a candidate’s ability to complete the following tasks:
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AWS Certified Data Engineer courses can help you learn the skills and knowledge needed to work with data on AWS:
The AWS Certified Data Engineer - Associate (DEA-C01) certification validates a candidate's ability to design and implement data solutions using AWS services. The learning objectives for this certification include:
There are several benefits to becoming an AWS Certified Data Engineer, including:
AWS certified professionals are in-demand and have better job prospects.
According to Glassdoor, the average salary for an AWS Certified Data Engineer (Associate) is $141,000.
AWS certification can help you stay up-to-date with the latest technologies and developments.
AWS certification can help you build practical skills and become more efficient at your job.
You can showcase your certification with digital badges on your social media and email signatures.
AWS certification can help you build confidence and credibility in cloud computing.
AWS certification provides access to a community of professionals where you can learn, network, and share knowledge.
AWS certification can help you build customized solutions for clients based on their requirements.
AWS certification can help you stand out from your peers and bolster your marketability.
As the demand for cloud technology soars in 2024, AWS certifications, particularly the AWS Certified Data Engineer - Associate (DEA-C01), are essential credentials for tech professionals specializing in data management. This certification opens up numerous opportunities in the data domain, including roles such as Data Engineer, Big Data Specialist, and Cloud Data Architect. With AWS maintaining its 31% market share, certified professionals are well-positioned to lead data-driven initiatives as more companies adopt AWS services to handle massive datasets.
AWS-related job postings globally
1.2M+Annual AWS usage growth rate
37%Top AWS clients in North America
53%
AWS certifications, including the Data Engineer - Associate (DEA-C01), are highly sought-after in today's tech landscape. With consistent growth in the cloud industry, AWS skills are essential for individuals looking to advance in cloud and IT careers. The demand for AWS-certified professionals has seen a significant year-over-year increase, reflecting the industry's reliance on AWS infrastructure.
of Fortune 500 companies utilize AWS services, creating a vast array of career opportunities for AWS-certified professionals.
The average annual salary for an AWS Certified Cloud Practitioner in the U.S., reflecting strong demand and value for foundational cloud skills.
Expected annual growth in cloud computing jobs globally over the next 5 years, fueled by AWS's market leadership.
The AWS Certified Data Engineer - Associate (DEA-C01) exam curriculum covers a range of topics, including:
The target candidate should have the equivalent of 2-3 years of experience in data engineering. The target candidate should understand the effects of volume, variety, and velocity on data ingestion, transformation, modeling, security, governance, privacy, schema design, and optimal data store design. Additionally, the target candidate should have at least 1-2 years of hands-on experience with AWS services.
The target candidate should have the following general IT knowledge:
Investing in an AWS Data Engineer Associate course positions you at the forefront of cloud data management, helping you gain in-demand skills, boost earning potential, and contribute effectively to data-driven decision-making in organizations.
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Online (proctored) via Pearson VUE or PSI. In-person at an authorized testing center.
Most platforms like Udemy or Coursera provide lifetime access to course materials, while bootcamps may offer limited post-completion access.
Python: For Glue ETL, Lambda functions, and SDK integration. SQL: For querying Redshift, Athena, and relational databases. PySpark or Scala: For processing big data on AWS EMR.
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