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Back to 1.2 Information Technology, AI and Data Sciences
1.2 Information Technology, AI and Data Sciences

Data engineering

Data engineers design, build, and maintain systems for collecting, storing, processing, and analyzing large volumes of data. They ensure data is accessible, reliable, and efficiently managed for various business needs. This role bridges the gap between raw data and actionable insights.

Career role details and responsibilities

Data engineers design, build, and maintain systems for collecting, storing, processing, and analyzing large volumes of data. They ensure data is accessible, reliable, and efficiently managed for various business needs. This role bridges the gap between raw data and actionable insights.

Role details

Data engineers design, build, and maintain systems for collecting, storing, processing, and analyzing large volumes of data. They ensure data is accessible, reliable, and efficiently managed for various business needs. This role bridges the gap between raw data and actionable insights.

Responsibilities

Key responsibilities include developing and optimizing data pipelines, implementing ETL (Extract, Transform, Load) processes, and managing data warehousing solutions. They also focus on building robust data architectures and ensuring data quality and security. Typical responsibilities include understanding user or business needs, applying relevant tools and methods, and coordinating with stakeholders.

Next Gen career options

Emerging roles include Machine Learning Engineer, DataOps Engineer, Cloud Data Architect, and roles focusing on real-time data processing and data governance.

Pointer: Next Gen career options related to this role

Emerging roles include Machine Learning Engineer, DataOps Engineer, Cloud Data Architect, and roles focusing on real-time data processing and data governance.

Educational institutes

Top 5 educational institutes in India

Name of Institute Location Website
Indian Institute of Technology Bombay Mumbai, Maharashtra https://www.iitb.ac.in/
Indian Institute of Technology Delhi New Delhi, Delhi https://home.iitd.ac.in/
National Institute of Technology Karnataka Surathkal, Karnataka https://www.nitk.ac.in/
BITS Pilani Pilani, Rajasthan https://www.bits-pilani.ac.in/
International Institute of Information Technology Hyderabad Hyderabad, Telangana https://www.iiit.ac.in/

Top 5 educational institutes globally

Name of Institute Location Website
Massachusetts Institute of Technology (MIT) Cambridge, USA https://www.mit.edu/
Stanford University Stanford, USA https://www.stanford.edu/
University of California, Berkeley Berkeley, USA https://www.berkeley.edu/
University of Cambridge Cambridge, UK https://www.cam.ac.uk/
ETH Zurich Zurich, Switzerland https://ethz.ch/
Refer our tool Unifinder to explore university matching your requirements https://counselnavi.com/uni-finder
Career role Name
Data engineering
Career Cluster
1.2 Information Technology, AI and Data Sciences
Super Cluster
1. Technology, Engineering & Digital Systems
Industry alignment
Data engineering is crucial across all industries that leverage data for decision-making, including technology, finance, healthcare, e-commerce, and manufacturing.
Work environment
Typically an indoor office environment with standard working hours (e.g., 9 AM to 6 PM). While projects can sometimes demand extra effort, work-life balance is generally manageable, with remote and hybrid work options becoming increasingly common.
Opportunity Type
Offers significant growth opportunities due to the increasing reliance on data. It involves moderate work stress associated with complex problem-solving and project deadlines. Salary growth is generally strong, with good scope for creativity in designing efficient data solutions and offering high job stability.
Key skills needed
Proficiency in SQL (Expert), Python/Java/Scala (Advanced), Database Management (Advanced), Cloud Platforms like AWS/Azure/GCP (Intermediate), Big Data Technologies like Spark/Hadoop (Intermediate), Data Modeling (Intermediate), and ETL Tools (Intermediate).
Interest type alignment
Strong alignment with Investigative (analytical thinking, problem-solving), Realistic (building and maintaining systems), and Conventional (organizing and managing data) interests. Aptitudes include logical reasoning, analytical skills, and attention to detail.
Career growth Path
Entry-level roles like Junior Data Engineer (1-3 years) progress to Data Engineer (3-6 years), then Senior Data Engineer (6-10 years). Further advancement can lead to roles like Lead Data Engineer, Data Architect, or Engineering Manager (10+ years).
Suggested education Pathways 10th standard onwards
  • 1. Bachelor of Technology (B.Tech) / Bachelor of Engineering (B.E.) in Computer Science or Information Technology.
  • 2. Bachelor of Science (B.Sc.) in Computer Science or Data Science.
  • 3. Master of Technology (M.Tech) or Master of Science (M.Sc.) in Data Science, Big Data, or Computer Science with specialization.
Education Stream recommendations
Computer Science & IT
Demand in India
High and rapidly growing demand across startups, IT services companies, and large enterprises, particularly in metropolitan cities like Bengaluru, Hyderabad, Pune, and Delhi-NCR.
Demand globally
Very high global demand, with significant opportunities in the US, Europe, and other technologically advanced regions. The role is fundamental to the digital transformation initiatives of companies worldwide.
Career & Job Prospects
Abundant job opportunities as Data Engineers, Big Data Engineers, Cloud Data Engineers, and ETL Developers. Related role families include Data Architecture, Data Science, and Software Engineering.