{"id":79168,"date":"2021-06-08T20:20:05","date_gmt":"2021-06-09T01:50:05","guid":{"rendered":"https:\/\/www.whizlabs.com\/blog\/?p=79168"},"modified":"2024-01-03T05:11:59","modified_gmt":"2024-01-03T10:41:59","slug":"google-professional-data-engineer-a-complete-guide","status":"publish","type":"post","link":"https:\/\/www.whizlabs.com\/blog\/google-professional-data-engineer-a-complete-guide\/","title":{"rendered":"Google Professional Data Engineer &#8211; A Complete Guide"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">A data engineer should possess the skills to design, build, secure, monitor, and operationalize data processing systems. With such a skill set, you can collect, transform and publish data for the sake of the productivity of an organization. <\/span><b>Google Professional Data Engineer<\/b><span style=\"font-weight: 400;\"> certification enables an individual to make decisions for an organization based upon data.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Along with clearing this certification, the data engineers need to put special emphasis on scalability, efficiency, security compliance, flexibility, portability, and reliability aspects. Along with that, the data engineer is also responsible for leveraging and deploying the machine learning models and training them on a continuous basis.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This is a complete guide specified for helping you clear the\u00a0<\/span><a href=\"https:\/\/www.whizlabs.com\/google-cloud-certified-professional-data-engineer\/\" target=\"_blank\" rel=\"noopener\"><b>Google Professional Data Engineer<\/b><\/a><span style=\"font-weight: 400;\">\u00a0examination. In this guide, you will get an idea of the exam overview, detailed topics, stepwise preparation strategy, tips, and salary information, associated with the Google Professional Data Engineer examination and career prospects.<\/span><\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_76 ez-toc-wrap-left counter-hierarchy ez-toc-counter ez-toc-custom ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #ea7e02;color:#ea7e02\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #ea7e02;color:#ea7e02\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.whizlabs.com\/blog\/google-professional-data-engineer-a-complete-guide\/#Why_go_for_Google_Professional_Data_Engineer_Certification\" >Why go for Google Professional Data Engineer Certification?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.whizlabs.com\/blog\/google-professional-data-engineer-a-complete-guide\/#Exam_Overview_of_Google_Professional_Data_Engineer_Certification\" >Exam Overview of Google Professional Data Engineer Certification<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.whizlabs.com\/blog\/google-professional-data-engineer-a-complete-guide\/#Google_Professional_Data_Engineer_Exam_Objectives\" >Google Professional Data Engineer Exam Objectives<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.whizlabs.com\/blog\/google-professional-data-engineer-a-complete-guide\/#Step-by-Step_Preparation_for_Google_Professional_Data_Engineer_Certification\" >Step-by-Step Preparation for Google Professional Data Engineer Certification<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/www.whizlabs.com\/blog\/google-professional-data-engineer-a-complete-guide\/#Tips_to_Clear_the_Google_Professional_Data_Engineer_Certification\" >Tips to Clear the Google Professional Data Engineer Certification<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/www.whizlabs.com\/blog\/google-professional-data-engineer-a-complete-guide\/#Salary_of_Google_Professional_Data_Engineer_Certified_Individual\" >Salary of Google Professional Data Engineer Certified Individual<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/www.whizlabs.com\/blog\/google-professional-data-engineer-a-complete-guide\/#Final_Words\" >Final Words<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"Why_go_for_Google_Professional_Data_Engineer_Certification\"><\/span><b>Why go for Google Professional Data Engineer Certification?<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Google has put up a dedicated certification for IT professionals who intend to be data engineers over the Google Cloud Platform. It is crucial for you to go with the Professional Data Engineer certification because data analytics and big data analytics are considered the lifeline of any organization or business. Therefore, it is important for individuals to master this technology to take up data-oriented initiatives for helping the business thrive.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">For successfully implementing the big data or data initiatives, you will need more proficient skills than being a data analyst or data scientist. You will initially need the skills of a data architect who will be designing the entire framework of data management for your organization. Following that, you will need data engineers to build that designed framework and bring the data pipelines into action for deriving business value out of collected data.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Therefore, if you are willing to pursue your career in the field of data management and optimization, then this certification is a good supportive qualification for you. Getting an edge with this profession demands ideal certification, and Google Professional Data Engineer is an ideal pick for you.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">While preparing for this certification, you will gain your skills of using the right tools from the open-source ecosystem of big data. Along with that, you also need to have theoretical and practical knowledge of Python, Scala, or Java to clear this examination with good grades and on the first attempt.<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Exam_Overview_of_Google_Professional_Data_Engineer_Certification\"><\/span><b>Exam Overview of Google Professional Data Engineer Certification<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><b>Google Professional Data Engineer<\/b><span style=\"font-weight: 400;\">\u00a0certification intends to help you master the skills of utilizing data for the betterment of an organization. When you have proficiency in designing, building, optimizing, and monitoring data, you can help make important decisions for the business\u2019s productivity. The role of a Data engineer is quite essential as of today for almost every organization. It is because, need for data is quite important for achieving stable growth in business operations. Therefore, this certification is of utmost concern for data engineer aspirants.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This certification exam is for 2 hours and is available for candidates to appear in English and Japanese only. The exam questions are in MCQ format, which will have multiple options for every question. The candidates can prefer to take it either remotely or at any physical test centers, based on personal preference.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">If you prefer to take the online examination option, you will have a proctor sharing screen with you to monitor you for the 2 hours of examination. You need to check on the online\u00a0<\/span><span style=\"font-weight: 400;\">test requirements<\/span><span style=\"font-weight: 400;\">\u00a0specified by Google Cloud before you can opt for this mode of delivering the exam.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">If you are not confident about taking an online examination, you can prefer to take the examination at physical centers on-site. You will have a proctor in this exam mode as well to conduct the examination for you. For that, you need to\u00a0<\/span><span style=\"font-weight: 400;\">select your nearest test center<\/span><span style=\"font-weight: 400;\"> from the available options over Google Cloud. You can do it while you are registering for the certification exam.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The registration fee for the Google Professional Data Engineer certification is $200. The tax is additional, depending upon the applicable areas. There are no mandatory prerequisites for this certification exam. But, you are advised to have at least three years of industrial experience in handling data management operations and at least one year of experience in designing &amp; managing the solutions with the use of Google Cloud Platform services.<\/span><\/p>\n<blockquote><p>Also Read: <span data-sheets-root=\"1\" data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;FREE Google Cloud Professional Data Engineer Exam Questions (whizlabs.com)&quot;}\" data-sheets-userformat=\"{&quot;2&quot;:769,&quot;3&quot;:{&quot;1&quot;:0},&quot;11&quot;:4,&quot;12&quot;:0}\" data-sheets-hyperlink=\"https:\/\/www.whizlabs.com\/blog\/google-cloud-professional-data-engineer-exam-questions\/\"><a class=\"in-cell-link\" href=\"https:\/\/www.whizlabs.com\/blog\/google-cloud-professional-data-engineer-exam-questions\/\" target=\"_blank\" rel=\"noopener\"><strong>FREE<\/strong> Google Cloud Professional Data Engineer Exam Questions <\/a><\/span><\/p><\/blockquote>\n<h2><span class=\"ez-toc-section\" id=\"Google_Professional_Data_Engineer_Exam_Objectives\"><\/span><b>Google Professional Data Engineer Exam Objectives<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">For clearing the certification exam, you need to be aware of the important areas to consider while you prepare. This certification is going to test your abilities in the areas such as:<\/span><\/p>\n<ol>\n<li>\n<h6><b> Designing Data Processing Systems<\/b><\/h6>\n<\/li>\n<\/ol>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Selection of the appropriate storage technologies.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Designing of the data pipelines.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Designing a data processing solution.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Migrating data processing and data warehousing<\/span><\/li>\n<\/ul>\n<ol start=\"2\">\n<li>\n<h6><b> Building &amp; Operationalizing Data Processing Systems<\/b><\/h6>\n<\/li>\n<\/ol>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Building &amp; Operationalizing storage systems<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Building &amp; Operationalizing pipelines. (Data cleansing, transformation, batch &amp; streaming, data acquisition, etc.)<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Building &amp; Operationalizing processing infrastructure. (Provisioning resources, adjusting pipelines, monitoring pipelines, etc.)<\/span><\/li>\n<\/ul>\n<ol start=\"3\">\n<li>\n<h6><b> Operationalizing Machine Learning Models<\/b><\/h6>\n<\/li>\n<\/ol>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Leveraging pre-built ML models as a service.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Deploying Machine Learning Pipeline.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Selecting the appropriate training &amp; serving infrastructure.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Measuring, monitoring &amp; troubleshooting the ML models.<\/span><\/li>\n<\/ul>\n<ol start=\"4\">\n<li>\n<h6><b> Ensuring Solution Quality<\/b><\/h6>\n<\/li>\n<\/ol>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Designing for Security &amp; Compliance.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Ensuring Scalability &amp; Efficiency<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Ensuring Reliability &amp; Fidelity<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Ensuring Flexibility &amp; Portability.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">These are the areas in which you need to direct your preparation strategies. Moreover, these are the topics on which the certification exam will be based so as to test your skills. Therefore, make sure you put up your efforts towards adapting the right learning methods in order to get your concepts clear and take on the examination confidently.<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Step-by-Step_Preparation_for_Google_Professional_Data_Engineer_Certification\"><\/span><b>Step-by-Step Preparation for Google Professional Data Engineer Certification<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Ideal preparation is quite important for you to understand and implement the right knowledge onto the exam questions. Becoming a data engineer is not an easy task in this competitive arena. There are immense job opportunities associated with data engineer qualification waiting for you to go with. But, the competition is also immense in the path of getting a job as a data engineer in top companies. Therefore, the key is to obtain the\u00a0<\/span><b>Google Professional Data Engineer<\/b><span style=\"font-weight: 400;\">\u00a0certification in one attempt, with an ample amount of practical knowledge. Here\u2019re the steps you should follow to become a Google Certified professional data engineer on the first attempt.<\/span><\/p>\n<ol>\n<li>\n<h6><b> Go Through the Exam Guide<\/b><\/h6>\n<\/li>\n<\/ol>\n<p><span style=\"font-weight: 400;\">It is important for you to explore the exam guide on priority. It is because you need to understand what this certification intends to offer you the required knowledge and what skills it demands from you. You need to check whether the existing skills you possess are sufficient enough for the\u00a0<\/span><b>GCP data engineer<\/b><span style=\"font-weight: 400;\">\u00a0certification or not. If you lack certain skills, then it is time for you to implement superior preparations to adopt the necessary knowledge and expertise for clearing this certification exam.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">You will get all of this information from the official\u00a0<\/span><a href=\"https:\/\/cloud.google.com\/certification\/guides\/data-engineer\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">exam guide<\/span><\/a><span style=\"font-weight: 400;\">\u00a0proposed by Google Cloud. The exam follows a blueprint of the syllabus, important topics, and focused elements of considerations. Moreover, understanding that blueprint is important for you to ensure that this is the certification you were looking for in order to approach further with the preparation ideologies.<\/span><\/p>\n<ol start=\"2\">\n<li><b><\/b><br \/>\n<h6><b>Take up the Official Learning Path Courses Offered by Google Cloud<\/b><\/h6>\n<\/li>\n<\/ol>\n<p><span style=\"font-weight: 400;\">The next step of preparation is to take up the learning path courses, available officially over the Google Cloud Platform. This learning path intends to help a candidate cover all the important topics and areas of interest to clear the certification examination on the first attempt.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In the\u00a0<\/span><a href=\"https:\/\/cloud.google.com\/training\/data-ml\/#data-engineer-learning-path\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">data engineer learning path<\/span><\/a><span style=\"font-weight: 400;\">, you have courses and skill badges to complete that includes:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Big Data and Machine Learning Fundamentals- Course<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Data Engineering on Google Cloud Platform- Course<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Preparing for the Professional Data Engineering Examination- Course<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Create &amp; Manage Cloud Resources- Skill Badge<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\">Perform Functional Data Machine Learning, and AI Tasks in Google Cloud- Skill Badge<\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Engineer Data with Google Cloud- Skill Badge<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Apart from the courses and skill badges, you also get to explore your skills in over 31 labs. Hence, it will help you with efficient preparation aspects for not just clearing the examination but also mastering the proficient skills.<\/span><\/p>\n<ol start=\"3\">\n<li>\n<h6><b> Take Instructor-led Training or Webinars by GCP for In-depth Preparation<\/b><\/h6>\n<\/li>\n<\/ol>\n<p><span style=\"font-weight: 400;\">You can prefer taking instructor-led training for\u00a0<\/span><b>Google Professional Data Engineer<\/b><span style=\"font-weight: 400;\">\u00a0certification. If you are not confident about clearing the fundamentals of this certification through the free modules offered by the GCP learning path, then you can definitely go for the paid training course. You can clear your doubts, get real-time help with practical solutions, and more clarity on select concepts.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">To increase the weightage of your preparation, you can take Webinars offered by Google Cloud on-demand. Sign-up to your Google Cloud account, and click on the \u2018<\/span><a href=\"https:\/\/cloudonair.withgoogle.com\/events\/data-engineer-certification?utm_source=cgc&amp;utm_medium=et&amp;utm_campaign=-&amp;utm_content=data-eng-cert-cgc-cert-cloud-dev&amp;utm_term=-\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">Watch on-demand<\/span><\/a><span style=\"font-weight: 400;\">\u2019<\/span><span style=\"font-weight: 400;\">\u00a0tab. You will get to attend an informative webinar carried out by Google experts and certified data engineers. They will guide you with important tips and tricks to master the fundamentals of this certification and clear the examination.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Get a detailed understanding of the concepts and critical components of Google Cloud Platform by exploring the\u00a0<\/span><a href=\"https:\/\/cloud.google.com\/docs\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">Google Cloud Documentations<\/span><\/a><span style=\"font-weight: 400;\">. You can also enroll in the online course for the <\/span><b>Google Professional Data Engineer<\/b><span style=\"font-weight: 400;\">\u00a0certification.<\/span><\/p>\n<ol start=\"4\">\n<li>\n<h6><b> Solve the Sample Questions and Get Hands-on Practice<\/b><\/h6>\n<\/li>\n<\/ol>\n<p><span style=\"font-weight: 400;\">You can go to the\u00a0<\/span><a href=\"https:\/\/cloud.google.com\/certification\/sample-questions\/data-engineer\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">sample question<\/span><\/a><span style=\"font-weight: 400;\">\u00a0section of Google Cloud to explore the sample papers of the Data Engineer certification exam. It will give you clarity on how the exam questions are put up and will make you aware of the complexities. These example papers are helpful to guide you with the right intensity of preparation that you must implement. Furthermore, it helps you know your levels, depending upon which you can improve your preparation habits.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Apart from that, you can also get hands-on practice by using Google Qwiklabs. It will help you get your hands upon the Google Cloud technologies. You need to start with the GCP service essentials before moving onto the Data Engineering arena. It is free for the first 12 months and allows you to try out all of the GCP products. It will be very helpful in the pursuit of preparing for the\u00a0<\/span><b>Google Professional Data Engineer<\/b><span style=\"font-weight: 400;\">\u00a0certification.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">You can also enroll in the Whizlabs Google Professional Data Engineer practice tests to prepare well and pass the exam on the first attempt. Try <\/span><b>Free Test<\/b><span style=\"font-weight: 400;\"> now!<\/span><\/p>\n<ol start=\"5\">\n<li>\n<h6><b> Register for the Examination<\/b><\/h6>\n<\/li>\n<\/ol>\n<p><span style=\"font-weight: 400;\">When you have commenced with your preparation and are confident to take on the examination, go ahead and\u00a0<\/span><a href=\"https:\/\/www.webassessor.com\/googlecloud\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">register<\/span><\/a><span style=\"font-weight: 400;\">\u00a0for the same. You will be requested to log in to the Google Webassessor account, to proceed further with the registration process. If you haven\u2019t created an account, then you need to sign-up and help yourself by completing the procedure.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Follow the directed steps, enter the asked information, select the mode of test you prefer, choose the location center (for on-site examination only), and make the payment. Your registration is complete! Continue with the preparation, and give your best in the examination.<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Tips_to_Clear_the_Google_Professional_Data_Engineer_Certification\"><\/span><strong>Tips to Clear the Google Professional Data Engineer Certification<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Here are some of the tips that will help you boost your preparation efforts of clearing the\u00a0<\/span><b>data engineer<\/b><span style=\"font-weight: 400;\">\u00a0certification by Google:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Make sure you complete all the courses offered by the official learning path by GCP.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Download the\u00a0<\/span><a href=\"https:\/\/github.com\/ml874\/Data-Engineering-on-GCP-Cheatsheet\/blob\/master\/data_engineering_on_GCP.pdf\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">cheatsheet<\/span><\/a><span style=\"font-weight: 400;\">\u00a0for\u00a0<\/span><b>Google Data Engineer<\/b><span style=\"font-weight: 400;\">\u00a0from GitHub.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Spare some preparation time for this\u00a0<\/span><a href=\"https:\/\/www.amazon.co.jp\/Official-Certified-Professional-Engineer-English-ebook\/dp\/B086Q6V6G6\/ref=sr_1_4?dchild=1&amp;keywords=data+engineer&amp;qid=1602422559&amp;sr=8-4\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">official study guide<\/span><\/a><span style=\"font-weight: 400;\"> for detailed knowledge on data engineering concepts.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Keep practicing the sample papers, and evolve your preparation techniques until you are satisfied with the results.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">These are a few of the tips that you need to blend with your existing preparation strategy.<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Salary_of_Google_Professional_Data_Engineer_Certified_Individual\"><\/span><b>Salary of Google Professional Data Engineer Certified Individual<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">The\u00a0<\/span><a href=\"https:\/\/www.talent.com\/salary?job=Google+Data+Engineer+\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">average salary<\/span><\/a><span style=\"font-weight: 400;\">\u00a0for a Google Professional\u00a0<\/span><b>Data Engineer<\/b><span style=\"font-weight: 400;\">\u00a0in the USA is around $147,000 per year. It is a whooping pay-out for this profession that gives clarity on the career-oriented scope. The lowest entry-level salary of a Google Data Engineer is $141,375 per year, whereas the highest pay-out for experienced data engineers is recorded to be $175,000 per year.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Therefore, you can conclude that\u00a0<\/span><b>Google Data Engineer<\/b><span style=\"font-weight: 400;\">\u00a0certification is the best you can pursue to obtain a high-paying job. With experience over time, the salary will also hike gradually.<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Final_Words\"><\/span><b>Final Words<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Google Professional Data Engineer certification is the proficient ladder for a successful career. Everyone who intends to build their career within the Cloud infrastructure can take up data engineering and other associated certification examinations to master their skills and enhance their potential. Hence, it will help individuals seek a job in high-paying companies with reputed designations.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">It is very important to choose the right preparation resources for your exam preparation. To help our learners prepare well, we offer an online course and practice tests for the Google Professional Data Engineer certification exam. Enroll now and start preparing for the exam!<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>A data engineer should possess the skills to design, build, secure, monitor, and operationalize data processing systems. With such a skill set, you can collect, transform and publish data for the sake of the productivity of an organization. Google Professional Data Engineer certification enables an individual to make decisions for an organization based upon data. Along with clearing this certification, the data engineers need to put special emphasis on scalability, efficiency, security compliance, flexibility, portability, and reliability aspects. Along with that, the data engineer is also responsible for leveraging and deploying the machine learning models and training them on a 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Gumaste","author_link":"https:\/\/www.whizlabs.com\/blog\/author\/pavan\/"},"uagb_comment_info":6,"uagb_excerpt":"A data engineer should possess the skills to design, build, secure, monitor, and operationalize data processing systems. With such a skill set, you can collect, transform and publish data for the sake of the productivity of an organization. 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