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Data Engineer Salary in India

A specialist workforce, known as data engineers, works on data-centric software solutions where they create them effectively to deliver an optimized solution following company expectations. Data engineering is a discipline of data science, where the aspiring candidates work in the processing of the collected data to form a fault-tolerant architecture that will be used for the transformation and transportation of the processed data within the organization.

To make the raw data more accessible and useful to the required teams within the business, they develop pipeline-like structures that are used for the transportation and transformation of the data.

Brace yourself, now it’s the time to look at the points that we will be covering in the blog, and let’s get started.

Table of Content

If you want to get a glimpse of data engineering, check out our one-shot video of how to Become a Data Engineer

What is meant by Data Engineer?

What is meant by Data Engineer?

In crisp words, data engineers refer to those specialized individuals who work in the field of data science where their sole purpose is to process unstructured data into readable, more accessible information.

Moving deep into the topic, let’s throw some light on why one should choose data engineering as a full-time career.

Want to make a career in the field of Data Science? Check out our course pool on Data Science Courses, and get your journey started.

Why pursue Data Engineering?

Why pursue Data Engineering?

There are several occupations available. Why do you want to work in data engineering?

What else makes data engineering the most lucrative and in-demand position in the entire tech stack, and why should someone choose it as a full-time career path? You can answer these questions with our assistance. Continue reading.

Look at the following details for solutions:

Here we conclude the reasons why you should opt for Data Engineering as a full-time career. In the next section, we will check out what it takes to be a data engineer.

Before going forward have a look at our Data Science tutorial for beginners.

What is needed to be a data engineer?

What is needed to be a data engineer?

The following abilities are necessary for one to be a data literate engineer in the field of data science:

Now we will enter into the heart of the blog, the upcoming section will let you know about the general salary insights moreover salary differences over multiple parameters.

Salary Insights of Data Engineering

Salary Insights of Data Engineers

Data engineering is the most demanded domain in the field of data science and associated technologies.

Look at the below parameters on which the salary of a data engineer is governed in India:

Wage parameters in Data Engineering in India

Below are mentioned the parameters by which the salary of a data engineer is governed:

Check out our blog on the Top Data Engineer Interview Questions and Answers to enhance your knowledge in the field of Data Engineering.

Salary expectations in India

Considering the above-mentioned pointers, according to renowned online sources, namely Glassdoor and AmbitionBox, the average annual salary of data engineers at the entry-level is approximately ₹8 LPA, and with experience, the figures can be up to ₹20 LPA. Let’s further take a look over the salary based on different parameters.

Working Period Expected Average Salary
Spanning less than 1 yr. ₹ 4.5 LPA
Spanning between 1 yr. to 5 yrs. ₹ 7 LPA
Spanning between 6 yrs. To 9 yrs. ₹ 12 LPA
Spanning over 20+ yrs. ₹ 18 LPA
Location Average Salary Offered
Bangalore ₹ 9.5 LPA
Mumbai ₹ 7.1 LPA
Pune ₹ 8.2 LPA
Ahemdabad ₹ 4.5 LPA
Kolkata ₹ 5.1 LPA
Jaipur ₹ 5 LPA
Employer Name Average Salary Paid
Amazon ₹ 20+ LPA
Accenture ₹ 6.2 LPA
Deloitte ₹ 13 LPA
Cognizant ₹ 7.6 LPA
Tata Consultancy Services ₹ 7.1 LPA
IBM India ₹ 8.1 LPA
Skills Average Salary Expectations
SQL ₹ 8.2 LPA
Programming Languages (Python, R, Ruby, Pearl, Java) ₹ 8 LPA
Apache Spark ₹ 9.5 LPA
Data Warehousing ₹ 9 LPA
Hadoop ₹ 8.4 LPA
ETL (Extract, Transfer, Load) ₹ 8.5 LPA


India has the second highest market for data engineers as companies are data-dependent and willing to drop huge funds while hiring them. The figures for job availability and salaries are competitive. An aspiring individual can take a lot out of this career as it will only increase exponentially in the future.

Join Intellipaat’s Data Science Community to resolve your queries.

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Blog: Intellipaat - Blog

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