Welcome to this comprehensive guide on Azure data engineering. In this article, we will explore the role of an Azure data engineer, discuss salary expectations, highlight the top skills required, and delve into the companies hiring Azure data engineers.
Contents
Who is an Azure Data Engineer?
An Azure data engineer is a specialist in designing, developing, and maintaining data infrastructure. Their main focus is to ensure that data can be stored, processed, and analyzed effectively and efficiently. In today’s data-driven world, where data plays a crucial role in decision-making, the role of a data engineer is becoming more important.
Data engineers have the responsibility of designing and implementing data storage systems, data processing pipelines, and data analysis tools. They work closely with data scientists and analysts to understand the data needs of an organization and ensure that the data infrastructure can support these needs. Additionally, data engineers are responsible for ensuring that the data infrastructure is scalable, secure, and reliable.
Azure Data Engineer Salaries
In the United States, the average pay for an Azure data engineer ranges from $132,000 to $256,000 per annum, according to a recent report. In India, the average annual salary of an Azure data engineer is between 6.5 lakhs to 7 lakhs. Salary projections are based on the most recent data from Azure data engineers.
Let’s see the salary estimates for Azure data engineers based on their experience:
- For a five-year experienced candidate, an Azure data engineer in India can expect an average annual salary of 8.5 lakhs.
- For an eight-year experienced candidate, an Azure data engineer can expect an average annual salary ranging from 14 lakhs to 27 lakhs.
These estimates are based on salaries received from a few Azure data engineers.
Companies Hiring Azure Data Engineers
Numerous companies are hiring Azure data engineers. Here are a few examples:
- Cisco Systems: Average salary of $185,000 per annum.
- Meta: Average salary of $175,000 per annum.
- Apple: Average salary of $170,000 per annum.
- Amazon: Average salary of $141,000 per annum.
- Google: Average salary of $127,000 per annum.
- Accenture: Average salary of $109,000 per annum.
- IBM: Average salary of $98,000 per annum.
- PCS: Average salary of $90,000 per annum.
Please note that there are many more companies hiring Azure data engineers, and these are just a few examples.
Skills Required for an Azure Data Engineer
To become a successful Azure data engineer, you need to acquire the following skills:
- Understanding of various Azure storage options, including blob storage, table storage, and cube storage.
- Knowledge of relational databases in Azure.
- Familiarity with NoSQL databases.
- Proficiency in big data services, such as Azure Data Factory, Data Lake, and Stream Analytics.
- Experience with data processing frameworks like Spark and Hive.
- Proficiency in Power BI, MSBI (SSIS, SSAS, SSRS), and Azure Search.
FAQs
-
Q: Where can I get Azure certification training for a data engineer?
- A: Techal offers a comprehensive Azure Data Engineer Associate certification training program. You can find more information on our website here.
-
Q: How can I land a job as an Azure data engineer?
- A: Apart from gaining the necessary skills, we recommend taking our Azure Data Engineer Associate certification course, which will prepare you for the job market. Additionally, you can reach out to us for any questions or assistance in the comments section below.
Conclusion
In conclusion, Azure data engineering offers excellent career prospects with competitive salaries. By acquiring the right skills and certifications, you can position yourself for success in this rapidly evolving field. Stay updated with the latest trends and technologies, and don’t hesitate to reach out for further guidance.
Happy learning and best of luck on your Azure data engineer journey!
This article was brought to you by Techal, your trusted source for insightful analysis, comprehensive guides, and the latest news in the world of technology.
