In this post, I have covered everything you need to know about becoming a Microsoft Azure Data Engineer, Roles, and Responsibilities, and many other things. So let’s jump into this post right away.
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?
- Skills Measured in DP 203
- Prerequisites for DP 203
- Exam Details
- Exam Retake Policy
- Azure Data Engineer Salary
- Why should Companies hire Azure Data Engineers?
- FAQs
- Conclusion
Who is an Azure Data Engineer?
Azure Data Engineer is a highly skilled professional responsible for integrating, transforming, and consolidating data from various structured and unstructured data into a format suitable for building analytics solutions.
- Microsoft Certified Data Engineer is responsible for designing the entire architecture of the data flow by taking care of the company’s business requirements.
- Data engineers also manage analytical data by creating a data warehouse for proper storage.
- Data Engineers are also responsible for ETL tasks. They need to Extract data from various sources, then Transform it and Load that data into the storage devices of companies.
Why Choose Azure Data Engineer?
Microsoft Azure is an emerging cloud computing platform that provides excellent services for enterprises. It offers a variety of certifications to master a particular skill in Azure. As per Microsoft, nearly 400,000 companies are registering themselves for the Azure platform every year. This shows the rising demand for Microsoft Certified Data Engineers.
Azure usage graph is rising every year and getting close to AWS. Many companies, including the fortune 500, are trusting and adopting Microsoft Azure. They are transferring their on-premises data and servers to Azure Cloud. Therefore, companies constantly need Data Engineers to handle big data and other operational services.
How to become an Azure Data Engineer?
Guys, passing the Azure Data Engineer exam is not a piece of cake. This exam covers a wide range of domains and topics. Its exam pattern is not predictable. Therefore you need to have a good knowledge of the topics that come under its syllabus. You can opt for a live training program from a verified platform and practice rigorously to get certified.
[To register for a Free Master Class of Azure Data Engineer DP203, find the link at the bottom]
Skills Measured in DP 203
Let’s have a look at the important domains covered in Microsoft Azure DP 203 exam:
1) Design and implement data storage (15–20%)
- Implement a partitioning strategy
- Design and implement the data exploration layer
2) Develop data processing (40–45%)
- Ingest and transform data
- Develop a batch-processing solution
- Develop a stream-processing solution
- Manage batches and pipelines
3) Secure, monitor, and optimize data storage and data processing (30–35%)
- Implement data security
- Monitor data storage and data processing
- Optimize and troubleshoot data storage and data processing
Let’s have look at the prerequisites for DP203.
Prerequisites for DP203
While appearing for Microsoft Azure DP 203 Exam, you must have a good knowledge of data processing languages such as:
- SQL
- Scala
- Python
Exam Details
- Certification Name: Data Engineering on Microsoft Azure
- Exam Cost: $165
- Languages: English, Chinese (Simplified), Japanese, Korean, German, French, Spanish, Portuguese (Brazil), Arabic (Saudi Arabia), Russian, Chinese (Traditional), Italian, Indonesian (Indonesia)
- Retirement date: none
Now we will see the retake policy for this exam.
Exam Retake Policy
- If a candidate is unable to score passing marks on the first attempt, he/she can appear for this exam again after 24 hours.
- If a candidate does not pass the exam on the second attempt, he/she should go through their training concept once again and appear for this exam again after 14 days.
- Overall, a candidate has a maximum of 5 retakes allowed in a year.
Check out: [Self-Study Guide] Exam DP-203: Data Engineering on Microsoft Azure
Azure Data Engineer Salary
Azure Data Engineer Salary in India
According to payscale.com:
- The average salary for a Fresher is ₹ 3,45,000 per annum.
- A professional with 3-4 years of experience earn up to ₹ 8,00,000 per annum.
- The average salary for a professional carrying 6-9 years of experience ranges uptil ₹20,00,000 per annum.
Azure Data Engineer Salary in the USA
As per talent.com statistics:
- The average salary for a Fresher is $120,000 per annum.
- A professional with 3-4 years of experience earn up to $ 137,500 per annum.
- The average salary for a professional carrying 6-9 years of experience ranges uptil $162,500 per annum.
Why should companies hire Azure Data Engineers?
Let’s quickly see for what operations do companies hire Azure Certified Data Engineers.
- Data Warehouse: Data engineers in companies create data warehouse storage solutions for large analytics and easy query processing.
- Architecture: Data Engineers analyze and design the entire architecture of the data flow of the company.
- ETL Process: ETL stands for Extract, transform and Load. It is one of the key tasks data engineers perform in an organization.
- Data Monitoring: Only performing the ETL process does not mean that the work is done. This process needs to be monitored to make sure that it is available globally.
- Automation: Companies hire data engineers to automate certain tasks that require the least human interference.
- Analytics: As per the business requirements, Azure Certified Data Engineers do data analytics and perform various operations on structured data using strong mathematical skills.
- Deployment: Data Engineers might have to deploy and manage platforms to maintain certain data for analytics purposes.
- Data Security: Security is the biggest aspect when it comes to deal with data. Hence, a data engineer’s huge responsibility is to ensure that the data is secure in each step.
The things mentioned above are the key factors to land a successful job with a high pay scale as an Azure Certified Data Engineer.
Check out: Step By Step Activity Guides (Hands-On Labs) for Microsoft Certified Azure Data Engineer Associate | DP 203 |
FAQs
Q1. How hard is Azure Data Engineer certification?
Ans: Guys, you need to have a strong foundation in Data Engineering to earn this certification. It is one of the hardest exams to pass due to many concepts and the unpredictability of exam patterns. You should have sufficient knowledge of each topic that is covered under this certification.
Q2. Which is better, AWS or Azure?
Ans: It depends upon various use cases. If an organization wants Platform-as-a-Service provider or Windows integration, you can go with Azure. But, if an organization looks for Infrastructure as a Service, then AWS is the best solution.
Q3. Is it worth getting Azure certified?
Ans: Definitely, It is worth getting Azure Certification. Because Cloud Computing is the future and Azure is leading the cloud computing market in the second place after AWS. It is rising at a very higher pace and spreading all across the IT industry.
Q4. Do Data Engineers code?
Ans: Yes, Data Engineers do write code the same as data scientists. They are highly analytical and interested in data visualization for the betterment of businesses.
Q5. Is data engineering a good career?
Ans: Data Engineers earn an excellent salary, even more than data scientists in many cases. But it requires a lot of effort, skills, and knowledge to be a successful data engineer.
Conclusion
The above discussion has shown a clear path to be a Data Engineer. But you need to choose this as a career very carefully. It needs a lot of effort to prepare for this certification. It requires a clear certification path, proper training, and dedication to pass this exam. No dumps are going to help unless you have a clear and crisp understanding of the concepts. Moreover, emerging technologies are getting introduced in big data and analytics, so you need to make yourself prepared for all of this for a better and successful future in Data Engineering.
Related/References
- Microsoft Azure Data on Cloud Bootcamp: Hands-On Labs & Projects for Job-Ready Skills
- Batch Processing Vs Stream Processing: All you Need To Know
- Introduction to Big Data and Big Data Architectures
- Azure Data Lake For Beginners: All you Need To Know
- Microsoft Power BI VS Tableau | Which one is Better?
- Introduction To Data Analysis Expression (DAX) In Power BI
- Designing And Automate An Enterprise BI solution In Azure
Next Task For You
In our Azure Data on Cloud Job-Oriented training program, we will cover 50+ Hands-On Labs. If you want to begin your journey towards becoming a Microsoft Certified Associate and Get High-Paying Jobs check out our FREE CLASS.
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