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Aug 02, 2024
Data is the new oil that fuels innovation and powers next-generation technologies. Data Engineers collect, manage and convert data into usable information. The demand for Data Engineers is expected to rise in upcoming years. India Today reports Data Engineering as one of the top 7 highest-paying engineering jobs.
As more enterprises adopt cloud-based data platforms, expertise in managing and analysing huge volumes of structured and unstructured data on Amazon Work Space (AWS) has become crucial for Data Engineers. This article discusses the top AWS certification data engineers can pursue to stay ahead in the ever-evolving technological landscape.
Getting certified in AWS opens the door to various career opportunities. Here are the top AWS certifications for data engineers;
AWS Data Engineer-Associate certification introduces candidates to the best practices in data governance. The candidate has to pass the AWS Data Engineer-Associate (DEA-C01) certification exam to become a Certified AWS Data Engineer. With its focus on real-life scenarios and hands-on training, this AWS certification is a valuable credential for data engineers seeking higher job roles.
The AWS Data Engineer-Associate (DEA-C01) certification exam consists of 65 Multiple-choice questions and lasts 130 minutes. This exam evaluates the candidates’ ability to design data models and manage data life cycles. The candidate has to score a minimum of 720 to pass the exam. This certification is valid for 3 years. The average annual salary of an AWS Data Engineer ranges from $91,200 - $185,000.
AWS Cloud Practitioner- Foundational Certification is an entry-level certification that validates your foundational knowledge in cloud computing. With this certification, you can pursue diverse job roles and can earn an average salary of up to $132,235.
The candidate has to score 700 to pass this AWS Certification Exam. AWS Cloud Practitioner- Foundational Certification (CLF-CO2) exam consists of 65 Multiple-choice questions and has a duration of 90 minutes. The exam evaluates knowledge of AWS Cloud Services and related terminologies. Candidates can pursue advanced-level cloud certification after completing AWS Cloud Practitioner Training and getting certified.
As enterprises adopt multi-model databases on AWS to unlock insights, database expertise is critical. To pursue AWS Solutions Architect- Associate Certification candidates should be familiar with AWS Cloud Formation Templates and must have the ability to meet cloud application requirements.
The candidate has to score 720 to pass this AWS Certification Exam. The AWS Solutions Architect- Associate Certification (SAA-C03) exam consists of 65 multiple-choice/multiple-response questions and has a duration of 130 minutes.
AWS Solutions Architect- Professional Certification exam evaluates your skill and knowledge and skill in AWS networking and global infrastructure that gives you a competitive edge over others.
AWS Solutions Architect-Associate Training makes you proficient in designing solutions that incorporate AWS services to meet current business requirements and future project needs.
AWS Machine Learning Engineer - Associate Certification helps you position yourself as an upskilled AWS Data Engineer. This certification also prepares IT Professionals who want to get into higher job roles in Machine Learning.
The candidate has to score 750 to pass this AWS Certification Exam. The AWS Solutions Architect- Associate Certification (SAA-C03) exam consists of 85 multiple-choice/multiple-response questions and has a duration of 170 minutes.
The exam evaluates your skill and knowledge in Machine Learning Models, Model Integration and Deployment. This certification enables you to land jobs with a starting annual salary of $97,000.
As the world is transitioning towards an AI-first future, machine learning skills will be highly sought-after. This AWS Machine Learning- speciality credential validates expertise in core ML services like SageMaker for developing algorithms, training and deploying models on AWS at scale.
Key areas tested include ML workflows, algorithms, feature engineering, model evaluation, optimization of compute resources for training models using GPU instances and model registry/operationalization. This certification exam requires thorough preparation and following AWS Study Tips for Exam properly can help you get the best scores.
This certification opens doors for roles in specialized domains of Machine Learning. AWS Machine Learning- speciality exam (MLS-C01) evaluates your knowledge and skills in 4 Domains,
The technology landscape is witnessing revolutionary changes with the advent of AI and Machine Learning. If you are a Data Engineer it is necessary to stay updated with the latest tools and technology. Pursuing AWS certification training is the best way to strengthen your resume and boost your career. It validates domain expertise that is highly sought-after among organizations undergoing digital transformation. Start preparing now and take your first step towards achieving career growth. Good luck!
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