Azure Data Engineer Certification (DP-203) Co ...
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An Azure Data Engineer is responsible for designing, implementing, and maintaining data management and data processing systems on the Microsoft Azure cloud platform. They work with large and complex data sets and are responsible for ensuring that data is stored, processed, and secured efficiently and effectively.
Azure Data Engineers use a variety of Azure data services, such as Azure Synapse Analytics, Azure Data Factory, Azure Stream Analytics, and Azure Databricks, to design and implement data solutions that meet the needs of their organization. They also work with other Azure technologies, such as Azure Functions, Azure Kubernetes Service, and Azure DevOps, to build, deploy, and manage data pipelines and data-driven applications.
In addition to their technical skills, Azure Data Engineers need to have strong problem-solving, communication, and collaboration skills, as they often work with a diverse team of data scientists, data analysts, and other stakeholders to design and implement data solutions that meet business requirements.
By 2028, the number of jobs involving data will rise by 12%, according to the Bureau of Labor Statistics. More than 546,200 new roles related to big data will result from this. The most sought-after jobs as a professor by the end of 2022 will be those as an Azure data engineer.
I’ve covered all the information you need to become a Microsoft Azure Data Engineer, along with the roles and responsibilities of such a position. So let’s get right into this article.
Let’s look at the topics of discussion:
- Who is an Azure Data Engineer?
- Why Choose Azure Data Engineer?
- How to become an Azure Data Engineer?
- The Path Towards Becoming an Azure Data Engineer
- Azure Data Engineer Salary
- Azure Data Engineer skills Measured in DP 203
- Azure Data Engineer Exam Details
- Azure Data Engineer Exam Retake Policy
- Certification Needed for a Job in Azure Data Engineering
- Why should Companies hire Azure Data Engineers?
- Conclusion
You can also check the complete tutorial blogs and videos down below.
Microsoft Azure Tutorial – Cloud Computing With Azure
Who is an Azure Data Engineer?
An Azure Data Engineer is a professional who is responsible for designing and implementing the management, monitoring, security, and privacy of data using the full stack of Azure data services to satisfy the business needs of an organization. They work with data architects and data scientists to help design, build, maintain, and troubleshoot data pipelines that move data from its source to the appropriate storage location, and make it available for analysis and reporting
Azure Data Engineers should have strong experience in developing and maintaining data pipelines, data lakes, and data warehouses, as well as a strong understanding of data modeling and ETL (extract, transform, load) processes. They should also be proficient in programming languages such as Python, SQL, and Scala, and be familiar with big data technologies such as HDFS, Spark, and Hive.
In addition to technical skills, Azure Data Engineers should have strong problem-solving and communication skills, as they will often work with cross-functional teams and will be responsible for translating the needs of data scientists and data analysts into technical solutions. They should also be comfortable working with a variety of data sources and types and be able to design and implement data pipelines that can handle structured, semi-structured, and unstructured data.
Overall, the role of an Azure Data Engineer is crucial for organizations that rely on data to drive business decisions, as they are responsible for ensuring that data is correctly collected, stored, and made available for analysis and reporting.
Why Choose Azure Data Engineer?
There are several reasons why organizations may choose to hire an Azure Data Engineer or why an individual may choose to pursue a career as an Azure Data Engineer:
High demand: As organizations increasingly rely on data to drive business decisions, there is a high demand for professionals who are skilled in designing and implementing data management solutions. According to Microsoft, demand for Azure Data Engineers has increased by over 100% in the past year.
Strong earning potential: Azure Data Engineers are in high demand, which often translates into strong earning potential. According to Glassdoor, the median salary for an Azure Data Engineer in the United States is $120,000 per year.
Career growth opportunities: The role of an Azure Data Engineer provides opportunities for career growth, as individuals can advance to positions such as Data Architect or Data Scientist.
Azure is a leading cloud platform: Azure is a leading cloud platform, with a growing number of organizations using it to store and manage data. As an Azure Data Engineer, you will have the opportunity to work with the latest technologies and gain valuable experience that is in high demand in the job market.
Flexibility: Azure Data Engineers can work in a variety of industries, giving them the opportunity to choose a career path that aligns with their interests and goals. They can also work in a variety of roles, including full-time, contract, or freelance positions.
Overall, becoming an Azure Data Engineer can provide individuals with a rewarding career path that offers strong earning potential, career growth opportunities, and the chance to work with the latest technologies in a flexible and dynamic environment.
How to Become an Azure Data Engineer?
Aspired to build your career as an Azure data engineer? Follow this definite career path and become an Azure data engineer.
Obtain a bachelor’s degree in a related field: While it is not always required, many employers prefer to hire candidates who have a bachelor’s degree in a field such as computer science, information technology, or data science. A degree program can provide individuals with a strong foundation in programming languages, data management, and analytics.
Gain experience with Azure data services: To become an Azure Data Engineer, it is important to have experience working with Azure data services such as Azure Synapse Analytics (formerly SQL Data Warehouse), Azure Data Lake, and Azure Databricks. Individuals can gain this experience through internships, projects, or by working on personal projects.
Learn programming languages: Azure Data Engineers should have a strong understanding of programming languages such as Python, SQL, and Scala. They should be able to use these languages to develop and maintain data pipelines, data lakes, and data warehouses.
Obtain relevant certifications: While not required, obtaining relevant certifications can help individuals stand out in the job market and demonstrate their knowledge and skills. Microsoft offers several certification exams for Azure Data Engineers, including the Azure Data Engineer Associate certification.
Stay up to date with industry trends: The field of data engineering is constantly evolving, so it is important for Azure Data Engineers to stay up to date with industry trends and new technologies. This can be achieved through continuing education courses, attending conferences, and reading industry publications.
Overall, becoming an Azure Data Engineer requires a combination of education, experience, and relevant skills. Individuals who are interested in pursuing a career as an Azure Data Engineer should consider obtaining a bachelor’s degree in a related field, gaining experience with Azure data services, learning programming languages, obtaining relevant certifications, and staying up to date with industry trends.
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The Path Towards Becoming an Azure Data Engineer
There are several steps you can take to become an Azure Data Engineer:
Gain experience working with data engineering concepts and technologies. This could involve working on personal projects or internships, or completing online courses or a degree in a related field such as computer science or data science.
Become proficient in programming languages such as Python and SQL. These are commonly used in data engineering and are likely to be covered on the DP-203 exam.
Gain hands-on experience using Azure data services. This could involve creating data pipelines, working with data lakes and data warehouses, and using HDInsight, Databricks, and Stream Analytics.
Consider earning the Microsoft Certified: Azure Data Engineer Associate certification. To earn this certification, you will need to pass the Azure Data Engineer DP-203 exam, which tests your skills and knowledge in data engineering on Microsoft Azure.
Continue learning and staying up-to-date with the latest data engineering technologies and best practices. This could involve taking additional certification exams, attending conferences and meetups, and staying current with industry news and trends.
Overall, becoming an Azure Data Engineer requires a combination of technical skills and hands-on experience. By gaining experience and knowledge in data engineering concepts and technologies, and becoming proficient in using Azure data services, you can position yourself to pursue a career as an Azure Data Engineer.
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Azure Data Engineer Salary
Freshers typically make ₹8,55,624 a year in salary.
A professional with 6 to 9 years of experience can expect to make an average salary of up to ₹20,00,000 per year.
Azure Data Engineer Salary in the USA
Freshers typically make $110,468 a year in salary.
The median salary for an Azure Data Engineer is $120,000 per year. A professional with 6 to 9 years of experience can expect to make an average salary of up to $162,500 per year.
Azure Data Engineer Skills Measured in DP 203
Here are some of the key areas that the Microsoft Azure DP 203 exam will cover:
- Design and Implement Data Storage (40-45%)
- Design a data storage structure
- Design a partitioning strategy
- Design the serving layer
- Implement physical data storage structures
- Implement logical data structures
- Implement the serving layer
- Ingest and transform data
- Design and develop a batch-processing solution
- Design and develop a stream-processing solution
- Manage batches and pipelines
- Design and Implement Data Security (10-15%)
- Design security for data policies and standards
- Implement data security
- Monitoring and Optimising Data Storage and Processing (10-15%)
- Monitor data storage and data processing
- Optimize and troubleshoot data storage and data processing
Azure Data Engineer Exam Details
To become an Azure Data Engineer, you will need to pass the Microsoft Azure Data Engineer DP-203 Certification exam. This exam measures your ability to design and implement data management, data processing, and data security solutions using Azure data services.
The exam covers the following topics:
- Design and implement data storage solutions
- Design and implement data processing solutions
- Design and implement data security and compliance solutions
- Design and implement data integration solutions
- Design and implement data analytics solutions
- To prepare for the exam, you can take one of the following courses:
DP-200: Implementing an Azure Data Solution
DP-200: Implementing an Azure Data Solution is a course designed to help you prepare for the Microsoft Azure Data Engineer Associate certification exam. The course covers the skills and knowledge required to design and implement data management, data processing, and data security solutions using Azure data services. It teaches you how to design and implement data storage solutions, design and implement data processing solutions, design and implement data security and compliance solutions, design and implement data integration solutions, and design and implement data analytics solutions. The course is a mix of lectures and hands-on labs, and is intended for data engineers and data architects who want to become proficient in designing and implementing data solutions on Azure.
DP-201: Designing an Azure Data Solution
DP-201: Designing an Azure Data Solution is a course designed to help you prepare for the Microsoft Azure Data Engineer Associate certification exam. The course covers the skills and knowledge required to design and implement data management, data processing, and data security solutions using Azure data services. It teaches you how to design data storage solutions, design data processing solutions, design data security and compliance solutions, design data integration solutions, and design data analytics solutions. The course is a mix of lectures and hands-on labs and is intended for data engineers and data architects who want to become proficient in designing data solutions on Azure. The course builds on the skills and knowledge you gained in the DP-200: Implementing an Azure Data Solution course, and is intended to be taken as the second part of the certification process
DP-203: Design and Implement Data Storage
DP-203: Data Engineering on Microsoft Azure is a certification exam that tests your skills and knowledge in data engineering on Microsoft Azure. It is said that DP-203 will replace both DP-200 and DP-201 exams. To earn this certification, you will need to pass the DP-203 exam. To prepare for the exam, you should have hands-on experience using Azure data services to design and build data engineering solutions. You should also have a strong understanding of the following concepts:
- Data ingestion, transformation, and integration
- Data storage options and data lakes
- Data processing with Azure HDInsight, Azure Databricks, and Azure Stream Analytics
- Data security and compliance
- Data governance and management
There are no specific prerequisites for taking the DP-203 exam, but it is recommended that you have some experience working with data engineering concepts and technologies. You can find more information about the exam and the recommended skills and knowledge on the Microsoft Azure website.
You can also refer to the exam guide and the relevant documentation for the Azure data services you will be working with.
The exam consists of multiple-choice and scenario-based questions, and you will have 120 minutes to complete it. The exam is available in English, Japanese, Chinese (Simplified), and Korean. You can register for the exam through Pearson VUE, the official test delivery partner for Microsoft.
Azure Data Engineer Exam Retake Policy
The retake policy for the Microsoft Azure DevOps Engineer Expert certification exam varies depending on the region in which you are taking the exam.
In most regions, you can retake an exam after a waiting period of 14 calendar days, and you are allowed a maximum of three attempts per calendar year. If you do not pass the exam on your first attempt, you can schedule your retake as soon as your initial test results are available. If you do not pass the exam on your second attempt, you will need to wait 14 calendar days before you can schedule your third attempt.
In some regions, the retake policy may differ. For example, in Japan, you must wait 90 calendar days before you can retake an exam.
Please note that these policies are subject to change, and you should check the Microsoft Certification Exam Policies page for the most up-to-date information.
Certification Needed for a Job in Azure Data Engineering
Microsoft Certified: Azure Data Engineer Associate: This certification is designed for data engineers who design, build, maintain, and troubleshoot data pipelines. It covers topics such as data ingestion, data transformation, and data delivery, as well as data storage, data processing, and data security.
Microsoft Certified: Azure Data Scientist Associate: This certification is designed for data scientists who use Azure Machine Learning to design and build models, and who use Azure Databricks to build, train, and deploy machine learning models. It covers topics such as data exploration, data preparation, and feature engineering.
Microsoft Certified: Azure Developer Associate: This certification is designed for developers who design and build cloud solutions such as applications and services. It covers topics such as Azure development tools, Azure management tools, and Azure security tools.
Microsoft Certified: Azure Solutions Architect Expert: This certification is designed for solutions architects who design and implement cloud solutions. It covers topics such as Azure infrastructure, Azure development, and Azure security.
Microsoft Certified: Azure Administrator Associate: This certification is designed for Azure administrators who manage cloud services that span storage, networking, and compute cloud capabilities. It covers topics such as Azure deployment, Azure management, and Azure monitoring.
Why should companies hire Azure Data Engineers?
There are several reasons why companies should consider hiring Azure Data Engineers:
To build and maintain data pipelines: Azure Data Engineers are skilled in designing and implementing data pipelines that move data from its source to the appropriate storage location and make it available for analysis and reporting.
To improve data management: Azure Data Engineers can help organizations improve their data management by designing and implementing solutions that ensure the integrity, security, and privacy of data.
To make data-driven decisions: Azure Data Engineers can help organizations make data-driven decisions by making data available for analysis and reporting, and by helping to design and implement data models that can be used for predictive analytics.
To increase efficiency: Azure Data Engineers can help organizations increase efficiency by automating data processes and by designing and implementing solutions that allow for real-time data analysis.
To stay competitive: In today’s data-driven economy, it is important for organizations to have access to high-quality data that can be used to make informed decisions. By hiring Azure Data Engineers, companies can ensure that they have the necessary skills and expertise to manage and analyze their data effectively.
Overall, hiring Azure Data Engineers can help companies build and maintain data pipelines, improve data management, make data-driven decisions, increase efficiency, and stay competitive in their industry.
Conclusion
In conclusion, the role of an Azure Data Engineer is crucial for organizations that rely on data to drive business decisions. By hiring skilled professionals who are proficient in Azure data services, companies can ensure that their data is correctly collected, stored, and made available for analysis and reporting.
If you’re interested in pursuing a career as an Azure Data Engineer, consider taking an Azure Data Engineer Associate Certification Course with a reputable provider such as Edureka. With Edureka, you can learn from industry experts and gain hands-on experience working with real-world projects. Invest in your career and become an Azure Data Engineer today with Edureka.
