Average Data Engineer Salary in India for Freshers and Experienced

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Last updated on
18th Jul, 2022
Published
23rd May, 2022
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Average Data Engineer Salary in India for Freshers and Experienced

The demand for data engineering is increasing in recent times. Data engineering refers to the science of creating and developing systems for the collection as well as analysis of data. It is the combination of data engineering and data management. The job role aims to build efficient and effective information systems to leverage data and ensure better decision-making.

Data engineering has become one of the highly in-demand career options with lucrative pay packages. When it comes to data engineering, everyone is curious to know about the data engineer salary. However, before knowing the pay scale of data engineers, it is important to get an idea about their roles and responsibilities.

Who is a Data Engineer?

A data engineer is a professional who designs, builds, and engineers an infrastructure to transform data into formats helpful for data scientists. The architecture developed by data engineers helps the data scientists in storing, procuring, and using raw data for better analysis and interpretation. Engineers play an important role in converting vast volumes of data into understandable, valuable information for businesses.

Businesses usually deal with immense data so, processing, analyzing, and storing is often challenging. Meanwhile, the data engineers help in reducing the complexity of these processes by creating a reliable infrastructure. A data engineer creates pipelines for the effective extraction of vital data. The engineer also builds different algorithms for the consolidation and cleansing of data.

In order to become a successful data engineer, taking up big data certification is vital. It can provide you with the essential knowledge and skills to succeed in the domain. Completing the course will also enhance your data engineer salary package.

Role of a Data Engineer

A data engineer works in a number of diverse settings to develop systems for the collection, conversion, and management of data. They ensure converting the raw data into information that is helpful for business analysts and data scientists. The core aim is to improve the accessibility of data for better evaluation and increased performance of the organizations.

There are a few roles of a data engineer. Some of the most prominent roles are listed below.

  • Collaborate with the management in order to gain an idea about the objectives of the company.
  • Acquire different datasets that are in line with the requirements of the business.
  • Create appropriate infrastructure to facilitate optimal extraction of data.
  • Build algorithms for transforming data into actionable and insightful information.
  • Consolidate, cleanse, and integrate data gathered from different sources.
  • Deploy different statistical techniques, machine learning algorithms, and analytical programs to create data pipelines.
  • Organize complex datasets for non-functional and functional requirements of the business.
  • Redesign existing data frameworks for better optimization of their functioning.
  • Develop, maintain, and test different database architectures.
  • Develop new data analysis tools and data validation methods.
  • Conduct in-depth research in order to understand the latest trends in the industry.
  • Ensure optimum compliance with security and data governance policies.
  • Identify ways to enhance the efficiency, reliability, and quality of data.

Salary Structure of a Data Engineer

In recent times, the demand for data engineers is quite high owing to the increasing need of businesses to analyze and organize huge data volumes. Even during the pandemic, the pay scale of the data engineers was good. On average, the big data engineer salary in India is ₹836,443 annually. The senior data engineer salary may be even more. However, the range can vary from ₹368k annually to ₹2 million annually.

A point to note here is that the data science engineer salary is dependent on several factors. The major factors include skills, experience, job role, company, and even location. Therefore, based on these factors, the salary of a data engineer will differ.

Factors Determining Data Engineer Salary

As discussed above, different factors determine the salary structure of data engineers. Let us take a look at the different factors that affect the base pay of the data engineers.

  • Experience

One of the important factors determining the salary of a data engineer in India is experience. Experience mainly refers to the knowledge of the professional about the job profile and the industry at large. It also includes prior experience and contributions in the domain. The higher the experience of a data engineer in India, the more the salary will be.

  • Location

Location is also a vital factor that affects the data engineer salary. There are locations where there is more demand for data engineers and greater job opportunities. In such places, the salary of a data engineer is high in comparison to other locations.  In India, there are plenty of opportunities for data engineers in the cities such as Pune and Bangalore. However, in the cities like Jaipur and Ahmedabad, the opportunities are quite less, therefore, less salaries.

  • Company

Company is yet another important factor that significantly affects the salary of a data engineer. An Amazon data engineer salary will be quite different from the Google data engineer salary or Facebook data engineer salary.

The top Indian companies that hire the data engineers are:

  • Amazon
  • Cognizant
  • Accenture
  • HCL Technologies
  • Deloitte
  • IBM India Pvt. Ltd.
  • Wipro
  • Infosys

The reputed companies have more demand for the data engineers and hence, offer higher salary packages.

  • Skillset

Skillset is yet another important factor. Not every data engineer has the same set of skills. While some have more, others have less. If you want to enhance your skills and earning potential, then taking up a Python with data science is important. Upskilling can help in increasing the azure data engineer salary as well as the analytics engineer salary.

Data Engineer: Pay Scale Based on Location

As mentioned earlier, location is an important fact that determines the data engineer or data center engineer salary. Certain locations offer better salaries to the data engineers in comparison to the others. The places with high demand for data engineers are the ones that pay the data engineers more.

In India, cities such as Bengaluru, Gurgaon, and Hyderabad have the highest average salaries in comparison to cities like Jaipur, Ahmedabad, and Kolkata. Let’s take a look at the average salary packages offered in different cities in India.

LocationsAverage Salary Annually (in INR)
Bengaluru₹931,331
Mumbai₹729,561
Pune₹861,549
Gurgaon₹987,847
Hyderabad₹980,530
Kolkata₹524,000
New Delhi₹902,317
Ahmedabad₹450,000
Chennai₹817,425
Jaipur₹560,000

Data Engineer: Pay Scale Based on Skills

Skill is also one of the important determining factors of the salary packages of data engineers in India. The more is skills possessed by the individual, the higher the salary will be.

There are a number of skills that data engineers must acquire in order to enhance their earning potential. For instance, SQL is a valuable skill for data engineers in comparison to Microsoft Word.

Below is a list of the highly in-demand skills and the salary packages of the data engineers who possess those skills.

SkillsAverage Salary Annually (in INR)
SQL₹822,524
Data Warehousing skills₹900,000
Apache Spark₹966,687
Programming Language (Python)₹802,380
Hadoop₹872,216
ETL (Extract, Transfer, Load) Skills₹872,886

Conclusion

Are you passionate about exploring and analyzing data? If yes, data engineering is a great field that you must consider pursuing your career in. Data engineering is an evolving field. More and more companies are on the lookout for skilled data engineers who can provide them with insightful and actionable data. Moreover, the earning potential of a data engineer in India is also quite high.

So, if you want to build your career in the field of data engineering, learning the essential skills is vital. Take up KnowledgeHut’s big data certification and increase your knowledge and skills to become a successful data engineer.

Frequently Asked Questions (FAQs)

Q1: What is Data Engineering?

Data engineering refers to a field of science that involves the creation and development of systems for effective data analysis and collection. It is a combination of data engineering and data management in order to provide value to business organizations.

Q2: What is the salary of a Data Engineer with no experience?

Even though you may not have prior experience but have the required knowledge and skills, you can expect a decent salary as a data engineer. The salary of a data engineer who is a fresher is approximately ₹4,00,00 per annum.

Q3: What are the skills required to be a Data Engineer?

The skills required to become a data engineer include knowledge of SQL and programming languages such as C++, Java, Python, Ruby, and Scala. Other skills thar are essential include analytical skills, organizational skills, project management skills, etc. Working experience in different Big Data platforms such as Spark, Hadoop, and Flume is also required.

Q4: What is the job profile of a Data Engineer?

The job profile of a data engineer is to assemble large and complex sets of data in order to meet the specific requirements of the business. They also need to identify and develop processes to process, optimize, and enhance the quality of data.

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Aditi Jain

Blog Author

Aditi is a Senior Content Marketing Specialist at KnowledgeHut. She is an avid writer with a masters in English literature and specializes in long-form articles and crisp marketing copies. She loves playing the guitar and covers soothing songs. Scrolling Instagram is also part of her mindfulness!