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
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.
Career prospects & criteria
Understand the prospects within the career & the education & other skills you need to make it.
B.Tech in computer science/ data science/computer and data science/ engineering/mathematics
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
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
Tools and components of data architecture
Knowledge of various operating systems
Building and designing large scale applications