Data Engineer

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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 machine is boring

  • Lack of some concrete knowledge about the subject

  • Repetative work

OPPORTUNITY TYPES

GOT WHAT IT TAKES?

  • Government

  • Freelance

  • Companies

  • Need to be an efficiend coder

  • Has excellent mathematical skills

  • Has good logical reasoning skills

  • Communication skills

  • Knows 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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