The role of a Data Engineer is one of the most important and gaining value in the data science domain. You can get an idea of the importance of the profile by the fact that it appeared in the LinkedIn US Emerging Jobs Report 2020.
In this article, we’re going to guide you through how to become a data engineer, what skills must you acquire and how much experience you should have.
According to the above report by DICE, data engineer is the fastest growing tech occupations in India and the globe. Let’s start with understanding the basics about who is a data engineer and what is their task?
Who is a Data Engineer?
A data engineer is a professional who is responsible for acquiring, managing, storing, and transforming the data in an organization according to their needs. They perform designing, creation, and management of the database architecture.
A data engineer ensures that all the data analysis, data visualization, and machine learning models can work simultaneously with other activities. In short, the profile of a data engineer is one of the most technical profiles in the data science domain.
What Do Data Engineers Do?
Being the most technical people in an organization, data engineers perform following tasks:
- ETL (Extract, Transform, Load) Processes
- Data Cleaning
- Preparing Large Datasets
- Designing Database Architecture
In order to become a data engineer, one must attain a bachelor’s degree and must acquire the knowledge of complex tools & technologies that we are going to layout below.
Data engineers perform highly complex tasks and their skills set must be very comprehensive and detailed based on the company requirements. Here are some of the skills that companies look for in data engineers:
- Database Management & Knowledge of SQL is a must.
- Besides SQL, knowledge of a programming language like Python, R, Scala, or Java is a must.
- A data engineer must have hands-on the big data tools like Apache Spark or Apache Hadoop.
- They must have the knowledge of cloud technologies like Apache Nifi or Apache Airflow.
- Knowledge of ETL frameworks is mandatory.
- Since a data engineer is directly responsible for the company’s growth, they have to communicate with other teams or clients in order to perform their tasks. Hence, good communication skills is also one of the things that companies prefer in a data engineer.
The salary for the above job profile is pretty handsome in current scenario. With more demand and less supply, companies are offering high packages. An average data science engineer can earn somewhere between 10 LPA to 30 LPA in India. If we talk about the US market, this figure goes somewhere between 90K USD to 120K USD per annum.
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