Azure, Microsoft’s cloud computing platform, which offers a wide array of services, sync features, and monitoring tools, is establishing itself as a leader in the industry. Due to this, there is a huge demand among tech businesses for data engineers and experts with Azure certifications.
Azure data engineers combine, transform, and consolidate data from numerous structured and unstructured data systems into formats that can be used to create analytics solutions. The data engineers hired by Azure are experts who are highly paid.
In the US, the average annual income for an Azure data engineer is $130,000. Most experienced data engineers can earn up to $159,906 per year, while entry-level occupations start at $116,342 annually. (Source: talent.com)
To succeed in the Azure interview, you must fully grasp all the requirements to become an Azure data engineer. To kickstart your interview prep process, we have shortlisted the top Azure data engineer interview questions.
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To help you crack Azure data engineer interview questions, in this article, we’ll cover:
If you’re someone who’s just starting, here are some basic Azure data engineer interview questions:
A cloud computing platform that offers hardware and software both, Microsoft Azure provides a managed service that allows users to access the services that are in demand.
When it comes to data security, dynamic data masking has several vital roles and contains sensitive data to a certain specific set of users. Some of its features are:
Polybase is used for optimizing data ingestion into the PDW and supporting T-SQL. It lets developers transfer external data transparently from supported data stores, no matter the storage architecture of the external data store.
Microsoft has included a reserved capacity option in Azure storage to optimize costs. The reserved storage gives its customers a fixed amount of capacity during the reservation period on the Azure cloud.
Azure Data Factory is a cloud-based integration service that lets users build data-driven workflows within the cloud to arrange and automate data movement and transformation. Using Azure Data Factory, you can:
You can also look at these top Data Engineer Interview Questions for practice.
When applying for intermediate-level roles, these are the Azure data engineer interview questions you can expect:
It is a service that lets users store massive amounts of unstructured object data such as binary data or text. It can even be used to publicly showcase data or privately store the application data. Blog storage is commonly used for:
The steps involved in creating the ETL process in Azure Data Factory are:
The program code is typically present either on the client-side or the server. However, serverless computing accompanies the stateless code nature, which means the code doesn’t need any infrastructure.
Users have to pay to access the compute resources the code uses within the brief period in which the code is being executed. It's cost-effective, and users need to pay only for the resources they have used.
Used as a carrier for the numerous processes taking place. Every individual process is known as an activity.
Activities stand for the process steps involved in a pipeline. A pipeline has one or multiple activities and can be anything. This means querying a data set or transferring the dataset from one source to the other.
Simply put, it’s a structure that holds the data.
Used for storing critical information when connecting an external source.
Check out these article to prepare for FAANG Data Engineering interviews:
Practice some Azure DevOps interview questions here.
You need to prepare these Azure data engineer interview questions for experienced professionals when applying for more advanced positions:
To schedule a pipeline, you could take the help of the scheduler trigger or the time window trigger. This trigger uses the wall-clock calendar schedule and can plan pipelines at periodic intervals or calendar-based recurring patterns.
To distribute the data uniformly across multiple partitions, selecting a good partition key is pretty important. A Synthetic partition key can be developed when there isn’t any right column with properly distributed values.
Here are the three ways in which a synthetic partition key can be created:
Read How to Prepare for Data Engineer Interviews to get interview-ready.
Using the Data Factory V2 version is recommended when creating data flows.
In Data Factory, parameters are a top-tier concept. They can be defined at the pipeline level, followed by the passing of arguments to execute the pipeline run on-demand or upon using a trigger.
These are some important Azure data engineer interview questions that will give you an idea of what to expect in the interview. Also, ensure that you prepare these topics — Security, DevOps, CI/CD, Infrastructure as a Code best practices, Subscription, Billing Management, etc.
As you prepare for your DE interview, it would be best to study Azure using a holistic approach that extends beyond the fundamentals of the role. Don’t forget to prep your resume as well with the help of the Data Engineer Resume Guide.
Here are some more blogs you can check out to get a better sense of the interview process:
Q1. What does an Azure Data Engineer do?
Azure data engineers are responsible for the integration, transformation, operation, and consolidation of data from structured or unstructured data systems.
Q2. What skills are needed to become an Azure data engineer?
As an Azure data engineer, you’ll need to have skills such as Database system management (SQL or Non-SQL), Data warehousing, ETL (Extract, Transform and Load) tools, Machine Learning, knowledge of programming language basics (Python/Java), and so on.
Q3. How to prepare for the Azure data engineer interview?
Get a good understanding of Azure’s Modern Enterprise Data and Analytics Platform and build your knowledge across its other specialties. Further, you should also be able to communicate the business value of the Azure Data Platform.
Q4. What are the important Azure data engineer interview questions?
Some important questions are: What is the difference between Azure Data Lake Store and Blob storage? Differentiate between Control Flow activities and Data Flow Transformations. How is the Data factory pipeline manually executed?
Q5. Are Azure data engineers in demand?
The answer is yes. As per Microsoft, this year, almost 365,000 businesses registered for the Azure platform, which implies that the business and its needs are growing. So, it’s safe to say that Microsoft Azure data engineers are highly in demand.
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