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Data Engineering

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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.

Mentors from the field

Learn about the field . What day to day work would look like . Growth opportunity & prospects . Interview preparation . Transition advise . Networking 

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JOSIE LANE

Current position

Journalist, communist & editor for Hindustan Times, DNA & Nat Geo Traveler. She's covered stories from travel start-ups, communities, gentrification, gender issues, and human rights.

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Career prospects & criteria 

Understand the prospects within the career & the education & other skills you need to make it. 

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Educational Qualifications

  • B.Tech in computer science/ data science/computer and data science/ engineering/mathematics

  • M.Tech

What you need to get started

  • Internships are available for data engineers undertaking self-directed learning in programming or analysis during the course will be helpful 

Soft Skills

  • Excellent analytical and problem-solving skills

  • Communication and presentation skills 

  • Effective listening skills

  • Planning, Time management and Organisational skills

  • Attention to detail

  • Teamworking skills and Collaborative

Technical 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 modelling 

  • Data mining

  • Statistical modelling

  • Regression analysis

  • Distributed Computing

  • Algorithms

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