Data Engineering

Data Engineering is an area of data science that focuses on the practical application of data processing and analysis. Data engineers concentrate on big data applications and harvesting. Their function does not involve much research or experimental design. Instead, they are out where the rubber meets the road (in case of self-driving vehicles), establishing interfaces and processes for flow and access to knowledge.

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Professional Man

Sushanth Raju

Senior Designer

11 years of industry experience

Sushanth is an esteemed automotive body designer with over 11 years of experience. As an alumnus from Musaliar College, he has worked for reputed companies like Jaguar, Land Rover and Nissan. He has a strong background in design and development and has worked towards designing electric vehicles as well.

Professional Man
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Rohit Kondapalli

Data Science Lead

7 years of industry experience

An experienced data scientist having extensively worked in analytics in a broad range of industries ranging from Healthcare and E-commerce to Agricultural technology and FinTech.
An alumnus of IIT,Bombay, his latest role has been the lead Data Science of a leading Google Studio Company

KEY SKILLS

  • Tools and components of data architecture

  • SQL

  • data warehousing

  • ETL tools

  • Hadoop

  • efficient coding

  • Machine learning

  • Knowledge of various operating systems

  • Building and designing large scale applications

  • Data modeling 

  • Data mining

  • Stastical modeling

  • Regression analysis

  • Distributed Computing

  • Algorithms

PROS

  • Peaceful work environment

  • Good Salary

  • Lot of career growth opportunities

  • Good learning opportunities

  • Perfect job to utilise advanced math skills

  • Rapid career growth

  • Lot of scope of research

CONS

  • Time management is quite difficult

  • Constant interaction with the machine is tedious 

  • Lack of some concrete knowledge about the subject

  • Repetitive work

OPPORTUNITY TYPES

GOT WHAT IT TAKES?

  • Government

  • Freelance

  • Companies

  • Need to be an efficient coder

  • Have excellent mathematical skills

  • Have good logical reasoning skills

  • have good communication skills

  • Know database management quite well

  • Should be a team player

KEY OPPORTUNITIES

Books

Podcasts

Networking Groups

Interesting Facts about the career

A data engineer is someone who prepares data for analysis. He collects data from single or multi-sources, stores these data, and does real-time or batch processing, and serves it through API. In one word, the difference between them is that data scientist only knows about data. The data engineer builds a pipeline to transform data into formats. Then a data scientist uses that format.

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