Big Data Hadoop Salary in India


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The amount of data produced today is unparalleled due to the development of corporate online presence, widely available affordable internet connection in several remote locations, devices, etc. This has made way for new ideas that will eventually result in distributed, linearly scalable technologies. Companies are investing in platforms with scale capabilities to process this data efficiently.

Big data is the user information businesses gather and use Hadoop to organise, store, and analyse. It improves customer understanding, promotes product innovation, and aids in business decision-making. Your IT career may benefit from learning more about this software. We will talk about big data Hadoop, its benefits and drawbacks when it comes to managing data, as well as career chances in this sector, in this post.

Big Data Hadoop

What is Big Data Hadoop?

Hadoop is a free and open-source application programming platform for storing a lot of data and executing computations. With some native C and shell scripts, its framework is based on Java programming. Big data applications including data warehousing, business intelligence, and machine learning frequently employ Hadoop.

Huge volumes of data may be stored and processed using the open-source Hadoop framework in a computing environment with distributed processing. It is built on the MapReduce programming architecture, which enables the concurrent processing of enormous datasets and is made to handle big data. Data processing, data analysis, and data mining are further uses for it. It allows for the distributed processing of massive data sets across computer clusters using a simple method.

Hadoop is made up of two crucial elements:

  • The Hadoop Distributed File System (HDFS): This is Hadoop’s storage component, which enables the storing of substantial volumes of data across numerous machines. It is affordable since it is made to function with common hardware.
  • YARN (Yet Another Resource Negotiator): This resource management part of Hadoop controls the distribution of resources (such as CPU and memory) for analyzing the information stored in HDFS.

Other modules of Hadoop, such as Hive (a query language similar to SQL), Pig (a high-level platform for developing MapReduce programmes), and HBase, give more capability (a non-relational, distributed database).

What is the average salary of a Big Data Hadoop?

Job opportunities for Hadoop developers can be found in a variety of industries, including IT, finance, healthcare, retail, manufacturing, advertising, telecommunications, media & entertainment, travel, hospitality, transportation, and even in government organisations.

The educational background, skill set, work experience, firm size and reputation, as well as the employment location, all play a significant role in determining a candidate’s salary as a Hadoop Engineer in India.

Average Annual Salary

The average yearly salary for a Hadoop Developer in India is ₹5.5 Lakhs, with salaries ranging from ₹3.0 Lakhs to ₹11.0 Lakhs. Salary projections are based on the most recent 2.8k salaries provided by Hadoop Developers.

Average Annual Salary

Average Annual Salary by Experience

An experienced Hadoop Engineer with 10–20 years of experience gets an average income of ₹18.5 Lakhs annually, whereas Big Data Developer salaries in India with less than 2 years to 7 years of experience range from ₹3.5 Lakhs to ₹14.5 Lakhs.

Average Annual Salary by Experience

What is the salary for a Big Data Hadoop fresher in India?

The salary for a Big Data Hadoop fresher in India can vary depending on several factors such as the company, job location, and specific role. It’s important to keep in mind that salaries can differ significantly based on the particular function within big data and Hadoop. A Hadoop developer, for instance, might make more money than a Hadoop administrator or a data engineer. Also, based on business trends and economic circumstances, the demand for these professions and the compensation associated with them may alter over time.

A Hadoop Developer must have at least 2 years of experience. An Entry Level Hadoop Engineer makes an average income of ₹4.1 Lakhs annually with less than three years of experience.


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