PG Program in Data Engineering

Full time Post Graduate program with Placement Support

Programs Detail

  • Overview
  • Program Highlights
  • Program Coverage
  • Program Fee
  • Eligibility
  • Campus

Overview

A data engineer is responsible for providing the reliable infrastructure of the data. A Data Engineering group is accountable for the entire ownership of the data, namely, their acquisition, storage, permission, delivery and processing. These data engineers ensure a smooth flow of data between systems and processes.

ETL (Extract, Transform, and Load) are the steps which a data engineer follows to build the data pipelines. ETL is essentially a blueprint for how the collected raw data is processed and transformed into data ready for analysis.

Data engineers are expected to know a fair bit of programming and familiarity with scripting. It is desirable (though not mandatory) to have engineering background. An acumen towards technology is a necessary requirement to succeed in the job.

The Different Roles in Data Engineering (source: AnalyticsVidhya)
  • ETL Engineer

    The ETL engineer is responsible to maintain the veracity of the data in the source and target system. They ensure that the right kind of tools, permission and system pipelines are in place for smooth transfer of the data.

  • Database Administrator

    This role requires extensive knowledge of traditional as well as the new-age NoSQL and Cloud databases. They ensure that the data generating and the data ingesting systems are up and running in a live business scenario.

  • Data Engineer

    A data engineer lays down the foundation for data management systems to ingest, integrate and maintain all the data sources. The person needs to have working database knowledge and also needs to understand the needs of the business and its long time data scalability needs. This role requires knowledge of tools like SQL, XML, Hive, Pig, Spark etc.

  • Enterprise Data Architect

    The master of the lot. An Architect needs to have knowledge of database tools, languages like Python, Java and Scala, distributed systems like Hadoop, among other things. It’s a combination of tasks of Database Administrator & Data Engineer into one single role.

Responding to Industry needs

Diagram adapted from Monica Rogati’s excellent article, ‘The AI Hierarchy of Needs’