Azure Data Engineer Salary: Insights and Trends

Azure Data Engineer Salary

Azure Data Engineer Salary: A trending question comes to every developer's mind who is willing to make a career in Azure. Azure Data Engineers often make salaries appropriate to their knowledge of data management and cloud computing. Because of the increasing need for qualified workers, pay will vary greatly depending on your region, experience level, and the difficulty of the projects you manage.

In this Azure tutorial, you will get all the important information about who the Azure Data Engineer?, the roles and responsibilities of Azure Data Engineer, the required qualifications for Azure Data Engineer, Azure Data Engineer Salary deciding factors, and many more.

Who is the Azure Data Engineer?

An Azure Data Engineer is an IT professional who specializes in managing and optimizing data solutions on Microsoft Azure's cloud platform. They are responsible for designing and implementing data pipelines and ensuring the flow, storage, and transformation of data across various systems.

• Data Pipelines: Designs and builds data pipelines using Azure services like Data Factory.
• Data Storage: Manages and optimizes storage with Azure Data Lake and Azure SQL Database.
• Data Integration: Integrates data from various sources for smooth data flow.
• Data Security: Implements security and compliance for data handling.
• Cloud Solutions: Works with cloud technologies like Azure Synapse and Data Bricks for scalable data solutions.
• Performance Optimization: Ensures efficient data processing and query performance.

Roles and Responsbilities of Azure Data Engineer

There are several roles and responsibilities of Azure Data Engineer that you should know about:

Roles of Azure Data Engineer

• Data Architect: Designs cloud-based data architectures using Azure services.
• Pipeline Developer: Builds and manages ETL (Extract, Transform, Load) pipelines for data integration.
• Data Analyst Support: Prepares data for analytics teams by ensuring clean, structured data.
• Cloud Engineer: Works with cloud solutions to optimize data storage and processing.

Responsibilities of Azure Data Engineer

• Data Integration: Develops pipelines for data extraction and transformation across systems.
• Data Storage Management: Makes use of tools like SQL Database, Azure Data Lake, and others to manage data storage.
• Security and Compliance: Puts security procedures into place to safeguard data and guarantee legal compliance.
• Performance Optimization: Guarantees query performance and data flow efficiency.
• Cooperation: Works with analysts and data scientists to make data accessible and insightful.

The Required Qualification for Azure Data Engineer

To become an Azure Data Engineer, you'll need a combination of education, technical skills, and experience. Here’s what is typically required:

• Educational Background: Candidates with a degree in information technology, computer science, or a similar discipline are typically preferred by employers. It might not be absolutely required, though, if you have excellent cloud computing and data management expertise.

• Proficiency in Cloud Computing: Given that you will be utilizing Microsoft Azure, a solid understanding of cloud technologies is vital. Important Azure services like Azure Data Factory, Azure Data Lake, and Azure SQL Database should be known to you.

• Programming Language Knowledge: Python, SQL, or Scala are among the languages you must be familiar with. These are necessary for managing big datasets and building data pipelines.

• Database Experience: A solid understanding of both SQL and NoSQL databases is essential. In order to store and retrieve data, you will be maintaining and optimizing databases on Azure.

• Data Engineering Tools: You will have an advantage if you have experience with big data platforms, analytics tools like Azure Synapse Analytics, and ETL (Extract, Transform, Load) tools.

• Obtaining a Microsoft Certification: The Azure Data Engineer Associate certification attests to your proficiency with Azure's data solutions. Your chances of being hired or developing in your profession might be substantially increased with this qualification.

Azure Data Engineer Salary

In India, the average yearly income for an Azure Data Engineer is 6.5 Lakhs, with the range being 4.4 Lakhs to 15.0 Lakhs. The most current 2.2k salaries that Azure Data Engineers have disclosed serve as the basis for salary predictions.

Azure Data Engineer Salary Based on Experience

The average yearly salary for an Azure Data Engineer in the US is $132,000, with a range of $117,000 to $156,000, according to a recent Glassdoor survey.

An Azure Data Engineer in India may expect to make between 4 and 16 lakhs per year, on average, according to a recent Glassdoor study.

Azure Data Engineer Similar Job Roles and Salary

There are some of the most important job roles and salary structures for the Azure Data Engineer; read carefully:

1. Senior Data Engineer/Senior Azure Data Engineer

Job Description

• A mid-sized consulting business that works with a few government and commercial customers is looking for a Senior Azure Data Engineer or Senior Data Engineer to join their team.

• The most qualified candidates will have experience working as data engineers, ideally in an Azure environment, and will be familiar with Azure Data Factory, Databricks, ETL, Synapse, and Azure Data Storage.

• Although this is a distant position, the team is located on the East Coast. Therefore, it would be excellent if someone could work East Coast hours or be on the East Coast themselves.

2. Azure Site Reliability Engineer

Job Description

• This quickly growing company is seeking a capable people manager to supervise our Developer Platform team.

• With the help of the Developer Platform, internal and partner developers may expand or improve the Swiftly platform. Although Kubernetes on Azure and Kotlin-written microservices make up the majority of our technological stack, we are more interested in technical skills.

• Adaptable and intellectually curious enough to pick up new skills and recognize the best resources for tackling problems.

• Based in the D.C. metro region, this company will continue to run totally remotely.

3. Data Analyst

Job Description

• The average total compensation for an entry-level Data Analyst with less than a year of experience is estimated to be ₹391,939 (which includes gratuities, bonuses, and overtime pay) based on 937 salaries gathered from 937 people.

• The average total salary for an entry-level Data Analyst with 1-4 years of experience is ₹480,235, based on 3,119 salaries.

• The average total income for a mid-career data analyst with five to nine years of experience is ₹730,795 (based on 818 salaries).

• An experienced data analyst's overall compensation, based on 177 salaries, is an average of ₹1,001,074. Their average experience ranges from 10 to 19 years.

In their later years of employment (20 years and above), employees earn an average total pay of ₹1,500,000.

4. Data Scientist

Job Description

• Based on 517 salaries, the average total compensation, including bonuses, gratuities, and overtime pay, for an entry-level data scientist is estimated to be ₹584,249.

• Based on 2,282 incomes, the average total salary for a Data Scientist in their first five years of work is ₹824,553.

• Based on 899 salaries, the average yearly salary for a mid-career data scientist with five to nine years of experience is ₹1,465,319.

• Based on 221 salaries, the average salary for an experienced Data Scientist with 10–19 years of experience is ₹1,917,808. Over the course of their latter careers, employees usually receive a total compensation of ₹1,362,500 (20 years and up).

Companies Hiring Azure Data Engineers

1. Tata Consultancy Services(TCS)

• According to Payscale, the typical total compensation for an entry-level Data Engineer with 1-4 years of experience is ₹426,000. This figure includes overtime compensation, bonuses, and tips.
• For a mid-career data engineer with five to nine years of experience, the average total salary, based on five salaries, is ₹622,008.

2. IBM India Private Limited

• Payscale states that an entry-level Data Engineer with 1-4 years of experience typically receives ₹589,581 in total remuneration. Tips, bonuses, and overtime compensation are included in this amount.
• A mid-career data engineer with five to nine years of experience receives an average total compensation of ₹720,000. This is based on 11 salaries. The average total remuneration for a seasoned data engineer with 10–19 years of experience is ₹1,350.000, based on six salaries.

4. Capgemini 

Payscale reports that an entry-level Data Engineer with 1-4 years of experience makes, on average, ₹490,000 in total remuneration (tips, bonus, and overtime pay not included). The typical total remuneration for a mid-career data engineer with five to nine years of experience is ₹1,000,000. Based on six salaries.

5. Cognizant 

Payscale reports that an Azure Data Engineer typically makes ₹773,031.

Azure Data Engineer Salary Deciding Factors

The salary deciding factors for Azure Data Engineers are :

• Experience Level: Salaries increase significantly with experience; entry-level may start at ₹5,00,000, while senior roles can exceed ₹30,00,000.

• Location: Salaries vary by region, with major tech hubs like Bangalore and Hyderabad offering higher pay compared to smaller cities.

• Industry: Sectors such as finance, e-commerce, and IT services tend to pay more due to the importance of data management.

• Skill Set and Certifications: Proficiency in Azure services and relevant certifications (like Microsoft Certified: Azure Data Engineer Associate) can enhance earning potential.

• Company Size and Reputation: Larger and established firms generally offer better compensation packages than startups or smaller companies.

• Project Complexity: Engaging in complex projects may lead to higher salaries, reflecting the critical nature of the work.

• Freelance vs. Full-Time: Freelancers may earn higher hourly rates (₹1,500 to ₹5,000) but lack the benefits of full-time employment.

Conclusion

In conclusion, we have covered all the important factors related to Azure Data Engineer Salary. And I hope you have clear thoughts about Azure Data Engineer. This job is crucial for enterprises and offers great payment and growth prospects due to the growing need for qualified people who can design, deploy, and maintain data solutions on the Azure platform. For mastering Azure Development, consider Azure Developer Certification Training and Azure DevOps Certification Course for making a brighter career.

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