AIM Research: State of Data Engineering in India 2023

The market size of Data Engineering in India is expected to grow at CAGR of 33.8% in the next five years from $25.3 bn in 2023 to $108.7 bn in 2028.
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State of Data Engineering in India 2023

Illustration by State of Data Engineering in India 2023

Enterprise data is stored in a variety of formats, including databases, text files, images, audio, video, etc. Data Engineers are the professionals who create pipelines to transform this data into formats that Data Scientists can read and use to further analyze the datasets. This data pipeline entails collecting data from various sources and storing it in a single warehouse, where it will be represented uniformly.

Data is present at every stage of the business process from lead generation to sales. Data engineers ensure the data is both sustainable and consistent. To reap the benefits of data at their disposal data engineers employ different methods and techniques to make discovered data more accessible and understandable to solve real-world business problems. This is the reason why data engineering has become a crucial part of businesses across sectors.

This report aims to explore the state of data engineering in the year 2023. The report covers various aspects such as market projection, the number of data engineers by sector, salary, and experience. It also talks about the adoption rate of data engineering solutions across company types. The study finds out the median salary of data engineers across cities, sectors, company types, and experience. In the Job section, the report talks about the number of open jobs in the data engineering domain. Furthermore, the report highlights the key skills of data engineers in the present market. The report concludes with the distribution of data engineering roles across different experience levels.

Read the complete report here:

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Siddharth Raghuvanshi

Siddharth works as a research analyst at AIM. He has worked in the Market Research industry for more than 4 years and has primarily worked in AI/ML related field.A theatre enthusiast, his love for writing and data has brought him here.
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