Data Engineering

Data Engineer

Rs 19999

2024-12-31
37days remaining.

Big Data is changing the way we do business hence there is a need for data engineers who can collect  manage large quantities of data.

A career in this field can be both rewarding and challenging. Data Engineers play an important role in an organization’s success, providing easier access to data that data scientists, analysts, and decision-makers need to do their jobs. Data Engineer’s help in programming and problem-solving skills to create scalable solutions.

The data engineer is the gatekeeper, responsible for educating data teams on best practices, most notably around efficiency (handling incremental loads), data modeling, and coding standards.

Introduction to Data Engineering

These are some common tasks you might perform when working with data:

Acquire datasets that align with business needs
Develop algorithms to transform data into useful, actionable information
Build, test, and maintain database pipeline architectures
Collaborate with management to understand company objectives
Create new data validation methods and data analysis tools
Ensure compliance with data governance and security policies

What will you learn in Data Engineering Skills?

Learn the fundamentals of cloud computing, coding skills, and database design as a starting point for a career in data science.

  • Coding: Proficiency in coding languages - SQL, NoSQL, Python, Java, R, and Scala.
  • Relational and Non-relational databases
  • ETL (extract, transform, and load) systems
  • Data storage
  • Automation and scripting
  • Machine learning
  • Big data tools.
  • Cloud computing
  • Data security
  •  

Build a portfolio of data engineering projects. – Real Time Projects


A portfolio is often a key component in a job search, as it shows recruiters, hiring managers, and potential employers what you can do. You can add data engineering projects you completed independently or as part of coursework to a portfolio website (using a service like Wix or Squarespace). Alternately, post your work to the Projects section of your LinkedIn profile or to a site like GitHub—both free alternatives to a standalone portfolio site.

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