Azure Data Engineer Jobs

Summary: Azure Data Engineers manage data systems using Azure services. The role demands knowledge of data engineering fundamentals, Azure cloud services, and relevant certifications. Salary ranges in India from ₹4.0 Lakhs to ₹15.0 Lakhs annually.

Introduction

Accordingly, Azure Data Engineer Jobs is one of the most demanding roles you might be interested in. The following blog will help you know about the Azure Data Engineering Job Description, salary, and certification course.

Data Engineering is one of the most productive job roles today because it imbibes both the skills required for software engineering and programming and advanced analytics needed by Data Scientists. To become a successful Data Engineer, you need to have strong knowledge of programming, statistics, analytical skills, and an understanding of Big Data.

How to Become an Azure Data Engineer?

Embarking on a career as an Azure Data Engineer offers exciting opportunities to work with cutting-edge cloud technologies. Azure Data Engineers are crucial in managing and optimising data systems, ensuring data is available, reliable, and secure. Here’s a step-by-step guide to help you become proficient in this role.

Understand the Fundamentals of Data Engineering

To excel as an Azure Data Engineer, start by mastering the basics of data engineering. This foundation includes understanding data modelling, which involves structuring and organising data to support business operations. Familiarise yourself with data warehousing concepts, which focus on storing and managing large volumes of data for analysis and reporting. 

Learn about data integration techniques that combine data from various sources and understand the principles of data pipelines and transformation processes that ensure data is processed and delivered efficiently. A solid grasp of these core principles will set the stage for working effectively with Azure’s cloud services.

Learn Azure Cloud Services

The next step is to delve into the Azure ecosystem. As an Azure Data Engineer, you’ll work extensively with Azure cloud services designed for data management and analytics. Start with Azure Data Factory, a powerful tool for orchestrating and automating data workflows. 

Azure Databricks provides a collaborative environment for big data and machine learning, while Azure Stream Analytics allows real-time data processing. Additionally, Azure Synapse Analytics integrates big data and data warehousing capabilities to offer a unified analytics experience. Get familiar with these services, understand their functionalities, and learn how they interact within the Azure environment.

Become Certified

Certification can validate your expertise and enhance your career prospects. Microsoft offers several certification programs tailored for Azure Data Engineers, with the Azure Data Engineer Associate certification being a prominent option. This certification demonstrates your ability to design, implement, and manage data solutions on Azure. 

Enrolling in an Azure Data Engineer certification course will help you prepare for the exam and provide you with the practical skills needed to design and implement data storage and processing solutions effectively. These certifications are crucial for showcasing your competencies to potential employers.

Get Hands-On Experience

Theory and certification are vital, but practical experience is where you refine your skills. Engage in real-world projects to gain hands-on experience in Azure data engineering. Working on personal projects or contributing to open-source initiatives can provide valuable insights and problem-solving opportunities. 

By applying your knowledge to actual scenarios, you’ll better understand how to leverage Azure services and handle complex data engineering challenges.

Becoming an Azure Data Engineer involves combining theoretical knowledge, practical skills, and certification. By understanding the fundamentals, learning Azure services, obtaining certification, and gaining hands-on experience, you’ll be well on your way to a successful career in this dynamic field.

Market Demand

The demand for Azure data engineering skills has surged in the current job market. With an increasing number of companies transitioning their data to cloud platforms, there is a growing need for professionals proficient in Azure. These skilled data engineers are crucial in designing, implementing, and managing robust data solutions on the Azure platform. 

As businesses seek to leverage cloud technology for scalability and efficiency, their reliance on Azure data engineers intensifies. Consequently, those with expertise in Azure data engineering find themselves in high demand, reflecting the broader trend of cloud adoption across industries.

Azure Data Engineer Job Description

Azure Data Engineer Job Description is more or less the same for different locations in India. However, some criteria might vary based on the requirements of a company. Consequently, here is an overview of the essential requirements that you need to have to get a job as an Azure Data Engineer.

• In-depth knowledge of distributed systems like Hadoop and Spart and computing platforms like Azure and AWS.
• Strong programming language skills in at least one of the languages like Python, Java, R, or Scala.
• Sound knowledge of relational databases or NoSQL databases like Cassandra.
• Having a solid understanding of ML principles and practical knowledge of statistics, algorithms, and mathematics.
• Along with it, you need expertise in ADF and Databricks.
• Creating and maintaining the business process solutions for the company’s internal matters ensures that they sync and reduce manual processes wherever possible.
• Keeping track of and monitoring workflow processes to improve transparency.
• Implementing the development of Azure cloud infrastructure relevant to the Data and Applications systems.

An example of the Azure Data Engineer Jobs in India can be evaluated as follows:

• 6-8 years of experience in the IT sector.
• Data Warehousing concepts and knowledge should be strong.
• Having experience using at least one end-to-end Azure data lake project.
• Strong skills in working with Azure cloud-based environment with Delta Lake implementation.
• Hands-on experience working with SQLDW and SQL-DB.
• Knowledge in using Azure Data Factory Volume.
• Azure Databricks and Azure Storage Services.

You can find Azure Data Engineer jobs in Gurugram, Haryana, and Azure Data Engineer near Delhi by searching through LinkedIn. Essentially, Azure Data Engineer jobs have also become a bit less public. You will also find Azure Data Engineer jobs with a remote work setting and flexible hours.

Azure Data Engineer Salary in India

The salary of an Azure Data Engineer in India varies significantly based on experience. For professionals with less than two years of experience, the annual salary typically ranges from ₹4.0 Lakhs to ₹6.0 Lakhs. As experience increases, so does the compensation. Data Engineers with 2 to 6 years of experience can expect salaries between ₹6.0 Lakhs and ₹15.0 Lakhs annually.

On average, Azure Data Engineers in India earn around ₹8.6 Lakhs per year, according to data from 6,000 recent salaries. This range reflects the growing demand for skilled data engineers, and the premium companies are willing to pay for expertise in managing and analysing large datasets using Azure’s cloud services.

Overall, the role of an Azure Data Engineer is well-compensated, with significant salary growth potential as experience and expertise in Azure technologies increase.

Common Interview Questions

There are several Azure Data Engineer Interview questions that you may find if you appear for an interview in the field. Following the potential questions in general that you might get asked:

1. What is Microsoft Azure?

Answer: Microsoft Azure is a cloud computing platform and service that Microsoft provides. Accordingly, it offers various services and capabilities for developing, deploying, and managing applications and services over a global network of Microsoft-managed data centres.

2. What data masking features are available in Azure?

Answer: Data Masking features available in Azure include Azure SQL Database masking,  Dynamic data masking, Azure Data Factory masking, Azure Data Share Masking, and Azure Synapse Analytics masking.

3. What is Polybase?

Answer: Polybase helps optimise data ingestion into PDW and supports T-SQL. It ensures developers query external data transparently for supporting data stores.

4. What is reversed capacity in Azure?

Answer: Microsoft offers a reserved capacity option for Azure storage to optimise costs. Moreover, reserved storage provides a fixed capacity for customers during the reservation period on the Azure cloud.

5. Which service would you use to create a Data Warehouse in Azure?

Answer: Azure Synapse is a service that offers limitless analytics, unifying Big Data Analytics and Enterprise Data Warehousing.

Frequently Asked Questions

What skills are essential for Azure Data Engineers?

Azure Data Engineers need a strong grasp of Azure cloud services, including Azure Data Factory, Databricks, and Synapse Analytics. Proficiency in programming languages like Python, Java, or Scala is crucial. Knowledge of data warehousing, integration techniques, and big data concepts is also essential for success.

What is the average salary for an Azure Data Engineer in India?

The average salary for an Azure Data Engineer in India is approximately ₹8.6 Lakhs per year. Entry-level positions offer between ₹4.0 Lakhs and ₹6.0 Lakhs annually. In comparison, those with 2 to 6 years of experience earn between ₹6.0 Lakhs and ₹15.0 Lakhs, reflecting increasing demand and expertise.

Which certification is recommended for Azure Data Engineers?

The Azure Data Engineer Associate certification is highly recommended. It demonstrates your proficiency in designing, implementing, and managing data solutions on Azure. This certification helps validate your skills and can significantly enhance your career prospects by showcasing your expertise to potential employers.

Closing Statements

Becoming an Azure Data Engineer involves mastering data engineering fundamentals, learning Azure cloud services, and obtaining relevant certification. Practical experience further enhances your skills. With the growing demand for cloud-based data solutions, Azure Data Engineers are well-compensated and in high demand, making this a promising career path.