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How to Become a Data Engineer 2021

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Dreaming of becoming a data engineer?

Data Engineer is one of the most high-demand professional careers in 2021.
Software engineers or people from the programming background can become successful data engineers.
Data engineers enjoy highly paid, challenging & job satisfaction careers in today’s technologies world.

Data Learner with the questioning mindset how to become a big data engineer? what should I study to become a data engineer? Is it hard to become a data engineer? what skills are needed for data engineers? Are data engineers in demand? Are data engineers boring? Do data engineers write code? is data engineering stressful? How do I become a data engineer with no experience? who earns more software engineers or data engineers? what is the future of data engineering? How much does an entry-level data engineer make?
coursesvision is here to help you! Know everything to become a data engineer in this article.

Are you ready to transit your career to data engineering?

The Ultimate Guide to become a data engineer.

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What is a data engineer?

Data Engineer is someone who deals with a huge amount of data and converts it into insights.
Who can perform collecting, storing, and managing large amounts of data.
Data engineers perform the task of data management systems like design, construct, install, test, and maintain the database.
Data-Driven business needs a data engineer who can ensure and make the data is in the usable format before it reaches to data analyst or data scientist.
Data engineer plays an important role in deep learning and machine learning.

What is data engineering?

Data engineering is the main focus on building reliable infrastructure, designing data models, building data warehouses.
Data engineering deals with the large quantities of big data which builds data systems to make consistent data flow.
Data sets build by the data engineer are used for various purposes like mining, modeling, acquisition, and verification.

Who is Data Engineer?

A data engineer is someone who is responsible for the movement of data, cleaning data, and processing raw data for the use of people to make data-driven business decisions in the organization.
Data engineer works with data analysts, data scientists and data architects.
A data engineer is someone who hails from a programming background and holds a bachelor’s or master’s degree in computer science.

What does a data engineer do?

Data Engineer Roles and Responsibilities

The ultimate goal of a data engineer is to make data accessible for people in an organization to use to optimize and evaluate performance.
Data engineers collect data from multiple sources, manage and convert raw data into a usable format for data scientists and data analysts.

List of tasks performed by the data engineer:

  • Data engineers work on exploratory data analysis.
  • They make sure that data collecting and storing must align with the business requirement.
  • Data evaluation, data cleaning, preparing, building, and maintaining the architecture of the database pipeline.
  • Developing algorithms, creating custom software using tools and various languages, develop strong analytics to get actionable insights.
  • Processing and storing data securely, working with ETL logic
  • Working on data modeling, data normalization, data delivery optimization
  • Data validation method, disaster recovery, and policies for security

What is the salary of a data engineer? OR How Much Does a Data Engineer Make?

Data Engineer Salary in 2021

Data engineers get highly paid for their demanding roles in the industry. as per the report published by glassdoor on June 2021, in the USA, the average salary data engineer makes is $111,933 to $164,000 per year.

According to the report of the bureau of labor statistics, the median salary for computer and Information Research scientists was $126,830 per year and $60.97 per hour in 2020.
and the median salary of database administrators and architects was $98,860 per year and $47.53 per hour

Data Analyst gets $68,000, you can compare all these profiles with data engineer and as you see, data engineers get highly paid for their skills.

What Skills are needed for a data engineer?

Data Engineering Skills:

Data Engineer Technical Skills

  • Python, Scala, Java, and C++
  • ETL tools and Data APIs
  • Apache Hadoop and Apache Spark
  • AWS and Azure
  • HDFS and Amazon S3
  • Database systems
  • Machine learning & algorithms
  • Data Warehousing & Data Structure

Data Engineer Soft skills

  • Communication skills
  • Presentation skills
  • Collaboration skills

What is Data Engineer Job Description?

Data Engineer Job Description may differ as per companies’ roles and responsibilities.

Let’s have a look at some of the companies job descriptions,

Data Engineer Job Description Google:

Data Engineer Job Description Microsoft:

Data Engineer Job Description IBM:

Data Engineer Jobs:
There will be a huge opening for data engineers in 2021 and it will be increased by 15% in 2029.

  • Junior Data Engineer
  • Data Engineer
  • Senior Data Engineer
  • Senior cloud data engineer
  • Big Data Engineer
  • Lead Data Engineer
  • Head of Data Engineering
  • Chief Data Engineer officer

What is the Difference Between Data engineers and data scientists?

Data Engineer Vs Data Scientist

Data engineers and data scientists mostly work together.

Data engineers build, store and process the data while data scientists organize big data and perform depth analysis to gain insights and solve business problems.

How do I become a data engineer?

  1.  Get a Bachelor degree in computer science or statistics or Math
  2.  Build your strong programming knowledge
  3. Get a hands-on project experience
  4. Pursue additional certification
  5. Start with your entry-level data engineer position
  6. Pursue higher education in computer science, applied mathematics, statistics, or related fields.

1. Get a Bachelor degree in computer science or statistics or Math

Take a short-term course on coding, database management, algorithms, data structures.
Complete industry internship, do lots of hands-on data projects to get real-time experience.
Join groups, forums related to data engineering, attend a hackathon and focus on building a strong portfolio to show potential employers

2. Build strong programming knowledge

To become a data engineer, you should have a strong programming background. focus on making a strong foundation for programming skills.
Learn Python,
Introduction to Scala
Introduction to Python
Introduction to R
Introduction to SQL
Data Engineering for Everyone
Cloud Computing for Everyone

3) hands-on project experience

Make your hands dirty with some real-time projects for data engineering.
look at some of these data engineering projects which you can do for free.

4) Pursue additional certification

Once you are confident enough, you can start with some certifications to stand in the market for the data engineer role.
These are some certifications that can put some value to boost your data engineer career.

Look for top-rated data science Bootcamps

5) Start with your entry-level data engineer position

Many boot camps offer job guarantee programs, you can start with a junior data engineer position. even with some professional certificates and good knowledge, based on how you showcase your skills to the employer can get an entry-level position such as database administrator, business intelligence analyst, or data analyst. once you gain experience, you can get advanced roles. people from the software engineering background can easily be moved to data engineering with some years of experience.

6. Higher education in computer science, applied mathematics, statistics, or related fields.

Some companies require a master’s degree but you can get entry based on work experience relevant to data engineering.
Many computer science degree holders succeed in their programming careers without higher education.
Considering a master’s degree in computer science, applied mathematics, statistics, physics, or relevant field not only increases your knowledge, skills but can open the door as a data scientist or data engineer.

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