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In today’s technological environment, where data and cloud computing are becoming more and more significant, an Azure Data Engineer is extremely important. Azure Data Engineers are in high demand due to the growth of cloud-based data solutions. In this article, we will examine the duties of an Azure Data Engineer as well as the typical pay in this industry. This Azure Data Engineer Salary blog will give you useful insights into the world of Azure Data Engineering and its pay scale, whether you are an experienced IT professional looking for a career change or a recent graduate exploring the job market.
The average pay for an Azure Data Engineer in the United States is $110,000 per year, with a range of $80,000 to $140,000, according to a recent Glassdoor report. However, this figure can differ significantly depending on a number of variables, such as location, experience, and employer. For instance, the average salary in cities like San Francisco, Seattle, and New York is typically higher compared to other cities.
Another element that may have an impact on an Azure Data Engineer’s pay is experience. The same report states that entry-level Azure Data Engineers can expect to make around $90,000 a year, while professionals with experience can make up to $120,000.
The size and nature of the employer can also have a big impact on how much an Azure Data Engineer makes. For instance, compared to smaller businesses, big tech firms like Microsoft, Amazon, and Google typically offer higher salaries. In addition, compared to their counterparts in the private sector, government, and nonprofit organizations typically pay less.
Data engineers typically work in an indoor office setting, and a bachelor’s degree in computer science, engineering, or a related field is often required. Computer skills, particularly with Linux systems, and three to five years of prior work experience may be required, as well as knowledge of algorithms, data structures, and performance optimism, as well as experience processing and interpreting data sets.
Data engineers are in charge of creating and translating computer algorithms into prototype code, as well as organizing, maintaining, and identifying trends in large data sets. Expected skills and experience include SQL database design proficiency, process documentation proficiency, strong written and verbal communication skills, and the ability to work independently and in teams. To supervise real-time business metric aggregation, data warehousing and querying, schema and data management, and related duties, familiarity with the computer coding languages python, java, Kafka, hive, or storm may be required.
Data engineers frequently work in groups and should enjoy collaborating with other data engineers. Work schedules are frequently flexible, with options such as working from home, paid days off, 401k, vacation time, and health insurance.
The average annual salary for an Azure Data Engineer in India is 6.5 Lakhs, with salaries ranging from 4.4 Lakhs to 15.0 Lakhs. Salary projections are based on the most recent 2.2k salaries provided by Azure Data Engineers.
Azure Data Engineer Salary Based on Experience
The average pay for an Azure Data Engineer in the United States is $132,000 per year, with a range of $117,000 to $156,000, according to a recent Glassdoor report.
The average pay for an Azure Data Engineer in India is 7 lakhs per year, with a range of 4 lakhs to 16 lakhs, according to a recent Glassdoor report.
Azure Data Engineer Similar Job roles and Salary
Job Description
Job description
Job Description
Employees make an average total salary of ₹1,500,000 in their later years of employment (20 years and over).
Tata Consultancy Services
According to Payscale, the average total compensation for an entry-level Data Engineer with 1-4 years of experience is ₹426,000. This figure includes tips, bonuses, and overtime pay.
Using 5 salaries for a mid-career Data Engineer with 5 to 9 years of experience, the average total compensation is ₹622,008.
IBM India Private Limited
According to Payscale, the average total compensation for an entry-level Data Engineer with 1-4 years of experience is ₹589,581. This figure includes tips, bonuses, and overtime pay. Based on 11 salaries, a mid-career Data Engineer with 5 to 9 years of experience makes an average total salary of ₹720,000. Based on six salaries, the average total compensation for an experienced Data Engineer with 10–19 years of experience is ₹1,350.000.
Accenture
According to Payscale, the average total compensation for an entry-level Data Engineer with 1-4 years of experience is ₹804,509 (including tips, bonus, and overtime pay). Using 6 salaries for a mid-career Data Engineer with 5 to 9 years of experience, the average total compensation is ₹855,522.
Capgemini
According to Payscale, the average total compensation for an entry-level Data Engineer with 1-4 years of experience is ₹490,000 (tips, bonus, and overtime pay not included). Based on 6 salaries, the average total compensation for a mid-career data engineer with 5 to 9 years of experience is ₹1,000,000.
Cognizant
According to Payscale, the average salary of an Azure Data Engineer is ₹773,031.
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ETL (Extract, transform, load), Apache Spark, and Amazon Web Services (AWS) skills are associated with higher-than-average pay. Python and SQL are two skills that pay less than the market rate.
Azure Data Engineer Job Description
Job Description – From 4 to 7 years of experience
Job Description – From 9 – 12 years of experience
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Conclusion
So this was all about the salary, job description, and skills of an Azure Data Engineer.
This blog will be updated on a regular basis to reflect current trends and changes.
Please leave a comment if you have any additional thoughts or questions about this topic.
If you want to get your CV shortlisted quickly, consider taking an Azure Data Engineer certification course.
If you want to learn more and get help with other certifications, please visit our Edureka website.
Until then, good luck with your studies!
Valuable post.