Building Your Dream Career in Data Engineering | Scope of Data Engineering in India 2022 |

Описание к видео Building Your Dream Career in Data Engineering | Scope of Data Engineering in India 2022 |

Data Engineering, a vital part of the Data Science ecosystem, has been drawing both pros and students. Watch Shashank (Data Engineer III, Expedia) discuss the demand in the Indian market. Check out our FREE masterclasses by top industry experts now: https://www.scaler.com/events?utm_sou...

Stats source: https://analyticsindiamag.com/state-o...

It’s no secret that in today’s data-driven world, the demand for data professionals is at an all-time high. Data engineering today could be considered one of the most lucrative jobs that deal with data. Due to this reason and more, data engineering has become one of the fastest-growing tech occupations.

What is the role of a data engineer?
A data engineer's responsibility is to construct or combine many components of complex systems while taking into consideration the information needed, the aims of the business, and the demands of the end-user.

Data engineers design, implement and manage the backend infrastructure that allows analysts and data scientists to derive insights from the data.

Data engineering is undoubtedly one of the top choices when it comes to having a career in a data-oriented domain. However, it is also critical to understand the current position for Data Engineers in India in terms of demand, compensation, and general necessity.

Data Engineering, as a profession is fast gaining pace in the data science ecosystem, and due to the strong need for Data Engineers, even FAANG companies are willing to spend a fortune for qualified individuals.

Check out this comprehensive guide to learn more about the state of data engineering in India.

The following topics are covered in Data Engineering Guide:

00:00- Introduction
00:28- Why is Data Engineering gaining popularity?
03:43- The market for Data Engineering
07:12- How much do Data Engineers make?
08:45- Job opportunities for Data Engineers
10:48- Key skills of Data Engineers

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