Salary of Big Data Engineer

Salary of Big Data Engineer

Preface – This post is part of the Salary series.

Salary of Big Data Engineer

Introduction

Big Data is a body of information that is enormous in volume and is constantly expanding exponentially. Typical data management systems can only effectively store or process this data because of its magnitude and complexity. Big data is a substantial form of data. Large, varied information sets expanding at an exponential rate are called “big data.” It includes the quantity of data, the speed or pace at which it is generated and gathered, and the range or depth of the data points being examined. Big data frequently results from data mining and comes in various formats.
Big data is a large amount of varied information that comes in ever-increasing numbers and at ever-increasing speeds. Both structured and unstructured big data exist. Results from extensive data analysis may be used by almost every department in a company, but managing its clutter and noise can be challenging. Critical data can be gathered through surveys, product purchases, electronic check-ins, personal devices and apps, publicly published comments on different online platforms, and voluntarily provided information.
In this article, we will discuss the Salary of Big Data Engineer.

Responsibilities

  • Meet with management to evaluate the needs of the business for big data.
  • Create Hadoop infrastructure.
  • Utilise Hive to pre-process various data sets after loading them.
  • Complete the system’s breadth and supply Big Data solutions.
  • Control the exchange of information between the internal system and the survey vendor.
  • Work together with the software development and research teams.
  • Upkeep of production methods.
  • Teach employees how to manage data resources.

Scope

Often, big data analytics requires a large team of highly qualified engineers. Workers in data architecture, advanced analytics engineering, data infrastructure engineering, and DevOps engineering are needed to collaborate with prominent data engineers.

Numerous challenges have evolved in data storage, processing, and handling due to the growing data expansion and data sources. The critical difficulties are

  • The vast amount of data.
  • The rate at which data is produced.
  • Inconsistent data.
  • Several data kinds.

Big Data analytics is the name for this.

Salary of a Big Data Engineer in India (INR)

Fresher 4 LPA
Junior Developer 8.1 LPA
Senior Developer 20.1 LPA

Salary of a Big Data Engineer in Singapore (SGD)

Fresher 48K PA
Junior Developer 69.9K PA
Senior Developer 96K PA

Salary of a Big Data Engineer in the USA (USD)

Fresher 68K PA
Junior Developer 96K PA
Senior Developer 133K PA

Salary of a Big Data Engineer in Britain (GBP)

Fresher 55K PA
Junior Developer 66K PA
Senior Developer 96.2K PA

Salary of a Big Data Engineer in Europe (EURO)

Fresher 65K PA
Junior Developer 68K PA
Senior Developer 155K PA

Salary of a Big Data Engineer in Australia (AUD)

Fresher 100K PA
Junior Developer 123K PA
Senior Developer 160K PA

Note: Here, PA stands for Per Annum, i.e., Annual Income.

 

Author

  • Barry Allen

    A Full Stack Developer with 10+ years of experience in different domain including SAP, Blockchain, AI and Web Development.


Comments

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.