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Table of contents
1.
Introduction
2.
Who is Data Engineer?
3.
What is the Domain of a Data Engineer?
4.
What are the Responsibilities of a Data Engineer?
5.
How to Become Data Engineer?
6.
How do Data Engineers Contribute to the Company?
7.
What is the Salary of a Data Engineer? 
8.
Skills of Data Engineer
9.
Future Picture of Data Engineer
10.
Top Companies for the Role of Data Engineer
11.
Frequently Asked Questions
11.1.
Do data Engineers write program code?
11.2.
Is the job of a data engineer simple?
11.3.
What do data engineers do throughout their day?
11.4.
Do data engineers attend many meetings?
11.5.
Is data engineering used to clean data?
12.
Conclusion
Last Updated: Mar 27, 2024

Roles and Responsibilities of Data Engineer

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Introduction

Data engineering is a profession that requires abilities that fall between a software engineer and a data scientist. Data engineers must be proficient in writing code and doing research. There are many different articles on the Roles and responsibilities of Data Engineer, but none of them clearly states all of the aspects.

roles and responsibilities of data engineer

This article will discuss the Roles and responsibilities of Data Engineer and will resolve all of the doubts that is in your mind about a data engineer. We will start our discussion by discussing who data engineers are. Afterwards, we will see the domain, roles and responsibilities of Data Engineer and how to become a data engineer. At last, we will discuss salary, the skill set required and the future picture of a data engineer. So without any further ado, let’s get started!  

Who is Data Engineer?

A data engineer is an IT professional who prepares data for analytical or operational purposes. They are often in charge of creating data pipelines that connect several source systems. Data engineers design and operate data systems. They create simple datasets to test and meet the firm's needs.

who is data engineer

Data engineers also put strategies in place to improve data reliability and quality. They mix raw data from several sources to produce consistent and machine-readable representations. They also design and test data extraction and transform frameworks for modelling purposes.

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What is the Domain of a Data Engineer?

Data engineers create, construct, and deploy machine learning and analytics data systems. The domain of data engineer includes raw data management, data storage, and data acquisition. Data processing, transformation, modelling, and database management are also included here. They combine, merge, and purify data before structuring it for use in analytics applications.

After knowing the domain of data engineers, let’s move our discussion to look at the roles and responsibilities of data engineer. 

What are the Responsibilities of a Data Engineer?

In our discussion of the roles and responsibilities of data engineer. We should talk about the roles and responsibilities of data engineer first. This includes:

  • Analyze and organise unstructured data in a structured format.
     
  • Create data systems and pipelines for the data.
     
  • Assess the needs and goals of the business.
     
  • Analyze trends and patterns.
     
  • Perform complicated data analysis and report on findings.
     
  • Data preparation for predictive and prescriptive modelling.
     
  • Create algorithms and prototypes.
     
  • Combine raw data from many sources.
     
  • Investigate methods to improve data quality and reliability.
     
  • Create analytical tools and software.
     
  • Work on various projects with data scientists and architects.

How to Become Data Engineer?

In our discussion of the roles and responsibilities of data engineer. We will now discuss all the necessary steps required to become a data engineer.

how to become data engineer
  • You should develop your programming skills in languages such as Python or Scala.
     
  • You should understand automation and scripting.
     
  • You should learn about database management, SQL and NoSQL databases.
     
  • Learn some techniques for mastering data processing.
     
  • Learn how to plan your workflows.
     
  • Learn about cloud computing on platforms such as AWS, Azure etc.
     
  • Improve your understanding of infrastructure tools such as Docker and Kubernetes.
     
  • Keep up with industry trends.

How do Data Engineers Contribute to the Company?

Every company encounters various data-related hurdles that need ingenuity, patience, and technological ability. With their existing knowledge, data engineers can help organisations resolve these difficulties.

how data engineer contribute to the company

In the age of digital transformation, they play an important role in promoting a company's data science projects. Many businesses are transforming due to the usage of automation (RPA and AI). Data engineers have the knowledge to assist organisations in connecting and maximising the use of these techs.

You can also check out Data Analyst vs Data Scientist here.

What is the Salary of a Data Engineer? 

Data Engineer salaries in India range from 3.1 Lakhs to 21.0 Lakhs per year, with an average yearly pay of 8.0 Lakhs.

Years of Exp

Avg Salary

0-1 year

5.0 LPA

1-2 years

6.4 LPA

2-3 years

7.0 LPA

3-4 years

8.0 LPA

4-5 years

9.2 LPA

5-6 years

10.9 LPA

6-7 years

11.8 LPA

7-8 years

12.3 LPA

Disclaimer: The above table mentions the average salary of an employee. It can change because of various factors.

Skills of Data Engineer

In our discussion of the roles and responsibilities of Data Engineer. Let’s have a look at the skill set of a data engineer.

skills of data engineer
  • Programming language knowledge (e.g. Scala and Python).
     
  • Hands-on SQL database design experience. Knowledge of SQL and NoSQL databases.
     
  • Technical knowledge of data models, data mining, and segmentation techniques is required.
     
  • Excellent numerical and analytical abilities.
     
  • Technologies like Amazon Web Services/ Redshift for data warehousing.
     
  • Knowledge of AWS or Microsoft Azure.

Future Picture of Data Engineer

With the rise in data generation day by day, companies realise that the more pressing need is to solve the basic issues around collecting, cleaning, storing and analysing data. Considering this understanding, data engineering has been in high demand in recent years. 

future picture of data engineer

It is also considered that data engineers will heavily use Cloud technology and SaaS (Software as a service) solutions. Data engineers will do less coding and more monitoring. Data engineers will move from feature to foundation teams. Leading to many new changes in upcoming years.

Top Companies for the Role of Data Engineer

top companies for data engineer

In recent years, the demand for Data engineers have been increasing rapidly. They are demanded by companies having the largest databases, data sciences, and ML/AI-related companies. Some of these companies are listed below:

  • AmazonAirbnbYoutubeGoogleSprintFacebookAT&TMicrosoft, and Netflix have the largest databases.
     
  • ClouderaSplunkUnifiedOracle, and TeraData are examples of well-known data science organisations.
     
  • Companies involved in AI/ML include GrammarlyOpenAIOrbital InsightCloudMindsDataRobotCapital One, and Cisco Systems.

Frequently Asked Questions

Do data Engineers write program code?

Yes, data engineers build code-base on their work environment.

Is the job of a data engineer simple?

Being a data engineer is a challenging task. Although with time and practice, you can become a data engineer who can complete their tasks.

What do data engineers do throughout their day?

For a data engineer reviewing or confirming data quality takes over 40% of their time on average. Furthermore, more than half of the data engineers said installing or repairing pipes took up most of their day.

Do data engineers attend many meetings?

Meetings are an inescapable need for most data engineers (or any technical role). They must have daily meetings with their team to discuss existing and prospective changes.

Is data engineering used to clean data?

A data engineer is in charge of developing and maintaining system designs for collecting and processing huge amounts of data. These platforms serve as the primary source of data for data scientists. Data engineers also assist in the cleaning and development of data extraction methods used in data models.

Conclusion

This article discussed the Roles and responsibilities of Data Engineer. We started our discussion by discussing who data engineers are. Afterwards, we saw the domain, roles and responsibilities of Data Engineer and how to become a data engineer. At last, we discussed salary, the skill set required and the future picture of a data engineer. 

We hope this blog has helped you enhance your knowledge of the Roles and responsibilities of Data Engineer. If you like to learn more, you can check out our articles: 

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