Preface – This post is part of the Salary series.
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.
- 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.
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)
|Junior Developer||8.1 LPA|
|Senior Developer||20.1 LPA|
Salary of a Big Data Engineer in Singapore (SGD)
|Junior Developer||69.9K PA|
|Senior Developer||96K PA|
Salary of a Big Data Engineer in the USA (USD)
|Junior Developer||96K PA|
|Senior Developer||133K PA|
Salary of a Big Data Engineer in Britain (GBP)
|Junior Developer||66K PA|
|Senior Developer||96.2K PA|
Salary of a Big Data Engineer in Europe (EURO)
|Junior Developer||68K PA|
|Senior Developer||155K PA|
Salary of a Big Data Engineer in Australia (AUD)
|Junior Developer||123K PA|
|Senior Developer||160K PA|
Note: Here, PA stands for Per Annum, i.e., Annual Income.