Shashank Mishra (Data Engineer III, Expedia) discusses the tough reality of being a Data Engineer and if you should be a Data Engineer. Check out our FREE masterclasses by leading industry experts now: https://www.scaler.com/events?utm_source=osocial&utm_medium=googleyoutube&utm_campaign=brand_scaler_events_osocial_googleyoutube_harsh-reality-of-being-a-data-engineer_all&utm_content=description
Data Engineering, a rapidly evolving area that is now one of the most prominent fields in software engineering, is not as simple as it appears.
Who are Data Engineers?
Data engineers design and construct pipelines that transform and ship data into a format that is highly usable when it is received by data scientists or other end users.
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.
Who are Data Scientists?
Data scientists choose the questions their team should pose and work out how to use data to provide answers. They frequently create predictive models for forecasting and theorising.
While Data engineering has shown multiple signs of being a field of software engineering that is here to stay, not everything is as easy as it is made to sound.
Here’s Shashank Mishra, a Data Engineer himself, discussing the reality and perils of being a Data Engineer, Check it out!
The following timestamps are covered in this video:
00:00- Introduction'
00:44- Engineering mindset is a must
04:21- Data domain is crucial
07:08- Best practices of Software Engineering
09:58- Flexibility for tools & tech frameworks
12:39- Data governance and monitoring
15:00- Summary
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