15+ Best Data Engineering Courses, Books, Certifications, Bootcamps 2023

With each passing day, there is an increasing need for qualified data engineers. To support an organization’s data infrastructure, data engineers mix their knowledge of data with that of software engineering. They create, plan, and keep up data pipelines.

Congratulations on making this decision to make career in Data Engineering. It’s going to a interesting journey. Your next move is to find a Best course for data engineering, enroll and dedicate next few months to the course. But you might be having a question, “what are some of the the best data engineering courses out there?”

In this article, I’ve listed only the Best Data Engineering Courses to be taken by anyone. I’ve looked into multiple MOOCs, compared them, and concluded that these are one of the best data engineering courses online available.

Introduction to Data Engineering

Data Engineering is transforming the data or information into a useful and meaningful format for analysis and other purposes. Data Engineers designs develop and build pipelines that transfer meaningful data to the end-users. Data Engineer is a senior role and requires a level of experience, it requires a perfect combination of various skills such as Data modeling, Data mining, Hadoop-based analysis, Machine learning, Proficiency is programming languages, Distributed computing, Statistical modeling, Designing of large scale applications, Proficiency in database languages, etc.

Data Engineers always work in a team or group of Data Analysts, Data Scientist, and Data Architect. Each of them has a specific role in the company. The Job demands of Data Engineer is also increasing according to the stats and there is also a shortage of these professionals in the industry due to some reasons. Data Engineers are always expected to have various technical expertise.

Data Engineers are necessary to test, build, and handle a massive amount of data. Today tons and tons of data are generated, collected, and used daily as the internet and technology are accessed by everyone. The World is going through a digital transformation and Data experts are playing a vital role in it.

If you want to become a Data Engineer but don’t have an idea about the courses, skills, Job role, salary of a Data Engineer then you are at the right place and right time. Just bookmark this page as we are going to cover every detail of the Data Engineering in this post of Best Data Engineering Courses 2020.

List of Best Data Engineering Courses Online

1. Udacity’s Data Engineer Nanodegree

This is one of the best data engineering MOOC available on the internet today. Udacity’s Data Engineer Nanodegree provides you the foundation of Big Data in Data Engineering. This program has various realistic projects through which you will gain industry-level practical knowledge as well as experience. You will build production-ready data infrastructure and learn important skills required for Data Engineering such as Data Modeling, Spark and Data Lakes, Data Airflow and Pipelines, etc.

The price of this Udacity Data Engineer Nanodegree Program is $1301 for the complete course. You can also pay $307 per month and enroll in the course.

The Duration of this Nanodegree Program is 5 months. You will also get a personal career coach and services throughout the course.

There are various advantages to this Nanodegree program. You will get technical mentor support and personal career guidance throughout the course. This Nanodegree program has world-class instructors which already have great experience in the industry.

Also Read: Check Reviews of Udacity’s Data Engineering Nanodegree

Course Duration	5 Months
Course Pricing	$1301
Difficulty	Intermediate
Course Rating	4.6 Stars
Link of the Course	CLICK HERE

2. Datacamp Data Engineer with Python

In this Datacamp’s Data Engineer with Python course, you will learn and practice to build effective data architectures, managing large scale data, and streamline data processing. You will use Python programming language along with SQL, Shell, and Scala to design and automate Pipelines, file system tasks, and databases.

This course can be accessed at different prices according to the plans.

You can choose between Personal and Business Plans. Personal Plans have standard and premium packages. If you buy the standard package then you will be charged $12.42 per month and receive all the essentials to grow your data skills. If you buy the Premium package then you will be charged $33.25 per month. The premium package is for those learners who want to access all the projects.

The duration of the course is 95 hours and it has 25 modules overall covering all the important and valuable concepts and skills required to become a Data Engineer.

This course provides hands-on exercises through which you can master cloud and big data tools such as PySpark, Spark SQL, AWS Boto, and MongoDB. You will also use various data engineering tools to create and design query databases and configure schedules to manage your pipelines.

The reason that this course ranks 2nd in the list of Best Data Engineering courses is because it provides Interactive learning, real-world projects, and skill assessments to boost your skills and knowledge and can serve as a best alternative to Udacity.

Also Read: Reviews of Datacamp

Course Duration	95 hours
Course Pricing	$33.25 / Month
Difficulty	Beginner
Course Rating	4.6 Stars
Link of the Course	CLICK HERE

3. Coursera’s Data Engineering with Google Cloud Professional Certificate

This Data Engineering with Google Cloud Professional Certificate program is offered by Google Cloud. In this program, you will learn all the skills needed to be successful in a data engineer role. You will be processing big data at scale for analytics and machine learning. You will also learn about the platform services and infrastructure provided by Google Cloud Platform.

You can start for free and have 7 days of free trials, after that you have to pay $48.08 per month to access the full course along with graded assignments. Remember Coursera has made a lot of courses and programs free for all, so you can easily get started with the technology you want to learn. Coursera also provides Financial Aid to empower students.

This Data Engineering with Google Cloud Professional Certification course will take approximately 4 months to complete. They suggest that the students or learners will have to give a minimum of 4 hours/week to the course.

There are various advantages of the Certification program. There are 6 Courses in this Professional Certificate – 

1. Google Cloud Platform Big Data and Machine Learning Fundamentals.

2. Modernizing Data Lakes and Data Warehouses with GCP. 

3. Building Batch Data Pipelines on GCP.

4. Building Resilient Streaming Analytics Systems on GCP.

5. Smart Analytics, Machine Learning, and AI on GCP.

6. Preparing for the Google Cloud Professional Data Engineer Exam.

You will also be working on Hands-on Projects to apply your skills and gain practical experience. This will also help you to create your portfolio for future references.

Course Duration	Approx. 4 Months
Course Pricing	Free trial | Financial Aid | $48 per – Month
Difficulty	Intermediate
No. of Students Enrolled	41,039
Course Rating	4.6 Stars
Link of the Course	CLICK HERE

4. DataQuest’s Data Engineer

DataQuest is also a good destination to launch a career in Data Science and provides one of the best Data Engineering Course online.

In this DataQuest Data Engineer path, you will learn how to build data pipelines to work with various large data sets. You will be working with Python and utilizing Pandas to work with large data sets and converting them into Postgres databases.

This DataQuest Data Engineer provides you the correct path to become a successful Data Engineer by following the list of courses provided by them. While working and learning about data and its handling you will also learn key computers science concepts such as Data Structures, Algorithms, and Recursion. 

The complete Data Engineer path can take around 6 months to complete. DataQuest tries to add new and useful courses to their paths, so the approximate time to complete the project can vary.

You can join DataQuest and follow the path of becoming a successful Data Engineer by paying $33.25 per month for the premium plan which will be billed annually. You will get various advantages such as lifetime community membership, Resume review, Access to Project, etc. which you will not get in the free plan.

This is one of the best paths provided by DataQuest for every beginner to become a successful Data Engineer. As a beginner, you will start from Python and end with building data pipelines. Not only Data Engineer, but they also provide the ultimate guide and path for Data Scientist, Data Analyst, and some other Data Manipulation roles. 

Course Duration	Approx 6 Months
Course Pricing	$33.25/month
Difficulty	Beginner
No. of Students Enrolled	270k Certificates issued
Course Rating	4.6 Stars
Link of the Course	CLICK ME

5. Udemy’s Complete Google Data Engineer and Cloud Architect Guide (GCP)

This is one of the best Data Engineering course on Udemy. In this course, you will learn to manage Hadoop apps on the Google Cloud and build deep learning models on the Google Cloud using TensorFlow. You will also learn how to use Big Data Technologies such as Big Table, Dataflow, Apache Beam, and Pub/Sub. This is one of the bestseller courses of Udemy.

You can buy this complete course at $85.67 and access all the 21 sections and 226 lectures. Udemy offers 30 Day Money-Back Guarantee in case you do not like the courses.

This Complete Google Data Engineer and Cloud Architect Guide course has 28 hours of content, after accessing it you can study it at your speed and requirement.

This course has a 4.3-star rating. More than 30,000 students have enrolled in this course. This course requires Hands-on experience on Hadoop as a prerequisite. This is a comprehensive course that includes various technological stuff such as TensorFlow, DevOps Stuff, Networking, Hadoop Foundations, Big Data, and Managed Hadoop.

Course Duration	28 hours of Content
Course Pricing	$85.67
Difficulty	Intermediate
No. of Students Enrolled	36,634
Course Rating	4.6 Stars
Link of the Course	CLICK HERE

 Here’s another course from Udemy I recommend,

Azure Data Engineer Technologies for Beginners

Here comes another one of the best Data Engineering course for Beginners from Udemy. In this Azure Data Engineer Technologies for Beginners course, you will learn to identify the right Azure SQL Server deployment options. You will also learn to deploy Azure Synapse Analytics in the Azure Cloud environment. This is a very detailed and comprehensive course that can help you to understand and master Databricks, Data Factory, Data Lake, Azure SQL Database, Cosmos DB, Synapse Analytics, and HDInsights.

The price of this Azure Data Engineer Technologies for Beginners course is $51.40. You will also get 30 Days Money Back Guarantee which can help you with a refund in case you did not like the course.

The duration of the course is 33h 44m, after accessing the course you can learn and practice at your speed and requirement. This course has been divided into 18 sections in which there are 326 lectures combined.

This course is perfect for the beginner who wants to master Azure and it’s fundamentals. This course has been rated 4.5 stars by more than thousands of students enrolled in the program. This course a prior knowledge of basic database concepts and its management. Microsoft Azure is one of the fastest-growing and in-demand technology among various data science professionals.

Course Duration	Approx. 35 hours of Content
Course Pricing	$51.40
Difficulty	Beginner
No. of Students Enrolled	10,988
Course Rating	4.5 Stars
Link of the Course	CLICK HERE

6. Edureka Advanced Executive Program in Big Data Engineering

This Advanced Executive Program in Big Data Engineering course is for the professionals and students who want to become an expert in the exciting world of Big Data Engineering. In this course, you will learn cutting edge technology and work on real-life industry level projects. This course has the curriculum curated by NIT Rourkela. After the completion of this course, you will receive a joint certificate from Edureka and NIT Rourkela.

The total fees of this Edureka Advanced Executive Program in Big Data Engineering are $2643.64. However, you can start and join the program by paying $160.63 per month. You can also apply for a scholarship and win up to $1004.

This is a complete 9-month comprehensive online program. After enrolling you have to dedicate 8 to 10 hours of commitment per week to the program. Remember this is a Non-degree and Non-Diploma Certification Program jointly offered by NIT Rourkela and Edureka.

This program has some realistic industry level projects such as Forecasting Trends and Demand, Predictive Analytics and Fraud Detection and Customer Retention Strategy. You will gain valuable practical experience from these projects and become more confident in your knowledge of Data Engineering.

Course Duration	9 Months
Course Pricing	$2643.64
Difficulty	Intermediate
No. of Students Enrolled	Not Known
Course Rating	4.3 Stars
Link of the Course	CLICK HERE

7. Simplilearn’s Post Graduate Program in Data Engineering

So this Simplilearn’s Post Graduate Program in Data Engineering is in collaboration with Purdue University and IBM. This program is for the learners who want to gain high engagement learning experience with real-world applications which can help them a lot in mastering data engineering skills.

In this program, you will learn distributed processing using the Hadoop framework, data pipelines with Kafka, large scale data processing using Spark, and manipulation of data on the AWS and Azure cloud infrastructure.

The price of this course in the form of Admission fees is $2007.83 excluding GST. You can pay them using Internet banking, Credit/Debit Card, or Standard EMI. You can also enroll by paying $69.16 per month and enjoy the program benefits.

The overall duration of the program is 8 months. After enrollment, you will have to dedicate at least 5 to 10 hours per week to learning.

There are various advantages associated with this program. After the completion of the program, you will receive a joint Purdue-Simplilearn certificate. You will also be entitled to membership in the Purdue University Alumni Association. You will also receive an industry-recognized IBM certificate.

Course Duration	8 Months
Course Pricing	$2007.83
Difficulty	Advanced
Course Rating	4.6 Stars
Link of the Course	CLICK HERE

8. Linkedin Learning Become a Data Engineer: Mastering the Concepts

Linkedin Learning is one of the most popular and latest online learning platforms providing courses and programs for various technology, business, and creative skills. In this program, you will build valuable Data Engineer and DevOps skills, master the tools and software of the field, and apply those concepts in a real-world data project.

This is one of the cheapest and the best Data Engineering Courses online. You can access all the LinkedIn Learning courses and programs for a 1-month free trial. After that, you have to select either MOnthly or Annually plan. You will have to pay $18.74 per month for the monthly plan and $12.05 per month for the annual plan.

This course has 15h 26m of the content in which there are 10 items of learning content. You can learn from it at your speed and requirements.

In this course, you will build a foundation in Data Engineering and Data Science DevOps. You will also explore techniques deployed in common tools and software.

Course Duration	15h 26 minutes
Course Pricing	Depends on the Plan
Difficulty	Beginner
Course Rating	Not Known
Link of the Course	CLICK HERE

9. PluralSight Path of Data Engineering on Google Cloud 

This PluralSight Path of Data Engineering on Google Cloud provides the right path for any of the learners or professionals who want to become a Data Engineer. The Path provides courses and programs for any beginner, intermediate or advanced level learner.

You can have access to the full course library by paying $20.06 per month in the personal plan. You can also enroll and pay $164.63 per year in the annual plan. They also have a premium plan providing all the existing and new features at just $246.28 per year.

The duration of the course varies from level to level. 

For beginners, there is the Google Cloud Platform Big Data and Machine Learning Fundamental course, the duration of this course is 4h 55 minutes. 

For Intermediate learners, there are two programs –

Modernizing Data Lakes and Data Warehouses with GCP courses, the duration of this course is 3h 34 minutes.

Building Batch Data Pipelines on the GCP course, the duration of this course is 2h 42 minutes.

For advanced learners, there are also two programs – 

Building Resilient Streaming Analytics Systems on the GCP course, the duration of this course is 3h 11 minutes.

Smart Analytics, Machine Learning, and AI on the GCP course, the duration of this course is 1h 39 minutes.

The Path of Data Engineering on Google Cloud provided by PluralSight is authorized by Google Cloud and provides a hands-on practice to design and build data processing systems on Google Cloud Platform.

Course Duration	Approx 3 hours
Course Pricing	$20.06 per months
Difficulty	All level
Course Rating	4.6 Stars
Link of the Course	CLICK HERE

10. edX XSeries Program in Data Science and Engineering with Spark 

It is a popular XSeries Program in which you will learn how to use Spark. In this program, you will use Spark and it’s libraries to solve big data problems. You will learn how to approach large scale data science and engineering problems. You will learn Spark’s APIs, architecture, and various other details.

The price of the full program is $246.29. The program has world-class instructors and provides 3 high-quality courses. The courses in the X series are taken in sequence, but each of the courses can be taken individually.

The overall duration of the course is 3 months and after enrollment, you have to dedicate 5 to 10 hours per week to the program for learning. With such offerings, we can say that Edx provides some of the best data engineering courses .

The program is in association with Berkeley, the University of California. Programming in XSeries requires a level of experience in programming, especially Python programming. All the exercises will use PySpark.

Course Duration	3 Months
Course Pricing	$246.29
Difficulty	Intermediate
Course Rating	4.3 Stars
Link of the Course	CLICK HERE

Hope you are find this article on best data engineering courses useful. Now let’s have some look over some of the top data engineering bootcamps.

Best Data Engineering Bootcamps

1. Springboard’s Data Engineering Bootcamp

With this Springboard Data Engineering Bootcamp, you can learn Data Engineering with industry experts in your corner. The course is 100% online so you can study on your terms with the help of experienced mentors.

The cost of this Data Engineering Bootcamp program offered by Springboard is $7500. You will get one to one industry mentor support and to build your concepts in Data Engineering.

The Overall duration of the course is 6 months and it has approx. 400 hrs of Curriculum length.

There are certain terms and conditions on the behalf of which they also provide Job guarantee to their students and learners.

I suggest Springboard if you are looking for a perfect bootcamp as it provides one of the best data engineering courses on the planet.

Bootcamp Details

Course Duration	6 Months
Course Pricing	$7500
Difficulty	Intermediate
Course Rating	4.5 Stars
Link of the Course	CLICK HERE

2. Xccelerated Data Engineering Training Program

Xccelerated Data Engineering Training Program provides training and teaching on various topics related to Data Engineering such as Data Engineering with Python/Scala, soft skills, personal development, cloud-native data engineering, distributed systems, data storage, containerization with Docker, and a lot of other stuff.

The program has been rated 8.5 out of 10. In the first month, you will kick off your Bootcamp and will get intense training on writing and deploying code in Python with containerization, data processing at a large scale with Apache Spark, Kafka, and cloud fundamentals. In the next 12 months, you will be working with one of their partner companies for practical experience. 

Bootcamp Details

Course Duration	1 year
Course Pricing	Unknown
Difficulty	Advanced
Course Rating	4/5
Link of the Course	CLICK HERE

3. Web Age Solutions Data Engineering Bootcamp Training (Using Python and PySpark)

In this Data Engineering Bootcamp Training using Python and PySpark, you will learn to build and maintain data infrastructure that holds your enterprise’s advanced analytic capacities altogether.

The price of this Data Engineering Bootcamp Training using Python and PySpark is $2995. It will be a complete online virtual class.

The duration of this Data Engineering Bootcamp Training using Python and PySpark is 5 days.

This 5 Days Data Engineering Bootcamp training course is complemented by various practical and lab experiences to enhance your practice as well as theoretical skills.

Bootcamp Details

Course Duration	5 Days
Course Pricing	$2995
Difficulty	Advanced
Course Rating	4.6 Stars
Link of the Course	CLICK HERE

4. Itversity Data Engineering Bootcamp

Here comes another Data Engineering Bootcamp with Live Support using Whatsapp group, periodic live sessions, updates about the technology stacks, and 1-year access to 10 node Big Data clusters.

With this course, you will be covering various core topics of Data Engineering such as Linux Fundamentals, Programming essentials using Python as well as Scala, Database essentials, and in-depth coverage of big technologies such as Spark, Hive, Sqoop, etc.

The price of this course is $150. This course will also prepare you for different job roles dealing with Data such as Data Engineer, BI Developer, Application Developer, and DevOps Engineer.

Bootcamp Details

Course Duration	Depends on Learner
Course Pricing	$150
Difficulty	Intermediate
Course Rating	4.3 Stars
Link of the Course	CLICK HERE

Free Data Engineering Courses for beginners

1. Udacity Intro to Data Science

This Udacity Intro to Data Science course is perfect for beginners who want to explore Data Science, gain some knowledge, and then go into the field of Data Engineering.

The course will cover some foundational topics in data science such as Data Manipulation, Data Analysis with Statistics and Machine Learning, Data Communication with Information Visualization, Data at Scale, and working with Big Data.

This course is free and is part of the Udacity Data Analyst Nanodegree program. This program will give beginners some foundational knowledge and concepts so that they can apply the basic techniques of data science.

The overall duration of the course is 2 months. In this course, you will learn Introduction to Data Science, Data Wrangling, Data Analysis, Data Visualization, and MapReduce.

Course Details

Course Duration	2 Months
Course Pricing	FREE
Difficulty	Intermediate
Course Rating	4.6 Stars
Link of the Course	CLICK HERE

2. Udemy Introduction to Data Science using Python

In this Udemy Introduction to Data Science using Python course, you will learn and understand the basics of Data Science and Analytics. You will also learn and understand how to use Python and Scikit together.

This course is completely free and is perfect for beginners. After completion of this course, you will have a good understanding of various terms such as Data Science, Machine Learning, Data Analytics, etc.

The duration of this course is 2hr 32 minutes. You can complete your course at your speed and time. The course has been rated 4.3 stars by over 4000 students.

Course Details

Course Duration	2hr 32 minute
Course Pricing	FREE
Difficulty	Beginners
Course Rating	4 Stars
Link of the Course	CLICK HERE

Best Data Engineering Certifications

Google Professional Data Engineer

A professional Data Engineer uses Data for various decisions by collecting, optimizing, manipulating data. Having a professional certificate is important for any Data Engineering role. You can apply for this Google Professional Data Engineer certification to receive a professional Data Engineer certificate from Google.

The registration fees for this Google Professional Data Engineer certification exam will be $200. The exam duration is 2 hours.

More than 3 years in industry and 1+ years of designing and managing solutions with the help of GCP is the recommended experience for this certificate.

If you are a professional and want to give this certification exam for the certificate then you can apply HERE. 

Amazon AWS Certified Big Data – Speciality

This Amazon AWS Certified Big Data – Speciality certificate is made for the professionals who perform complex Big Data analysis and have more than 2 years of experience working with AWS technology.

The registration fees for this AWS Certified Big Data – Specialty certification exam is $300. You will be given 170 minutes to complete the exam.

Minimum five years of hands-on experience in the data analytics field and experience in designing a scalable and cost-effective architecture to process data is recommended for this AWS Certified Big Data – Speciality.

If you are a professional and want to give this certification exam for the certificate then you can apply HERE. 

IBM Certified Data Engineer – Big Data

This certification is made for IBM Big Data Engineers. Big Data Engineer focuses on collecting, managing, parsing, and optimizing large data sets.

Some software areas of central focus are BigInsights, BigSQL, Hadoop, Cloudant (NoSQL).

This certification exam requires 1 test and if you are a professional and want to give this certification exam for the professional certificate then you can apply HERE.

Microsoft Certified: Azure Data Engineer Associate

Azure Data Engineers design, implement and manage the monitoring, security, and privacy of the data using a full stack of Azure data services to satisfy industry needs.

There are two certification exams, Implementing an Azure Data Solution, and Designing an Azure Data Solution. The price for Implementing an Azure Data Solution certification exam is $165 and the price for the Designing an Azure Data Solution certification exam is also $165.

By giving this certification exam you can measure various skills such as Implementing data storage solutions, Managing and developing data processing, Monitor and optimize data solutions, Design Azure data storage solutions and designing data security and compliance.

If you are a professional and want to give this certification exam for the certificate then you can apply HERE. 

Cloudera CCP Data Engineer

Professionals who earn the Cloudera certification of CCP Data Engineer are expected to easily perform the core efficiencies required to transform, store, ingest, and analyze data in Cloudera’s CDH environment.

The price of this Cloudera CCP Data Engineer certification exam is $400.

You will be provided 240 minutes for the completion of the exam. You will pass the exam if you score more than 70%.

If you are a professional and want to give this certification exam for the certificate then you can apply HERE. 

This were some of the best data engineering courses and certifications you can take online. Let’s have look at some other recourses like books, blogs, YouTube channels that can help you land a successful career as a data engineer.

Best Data Engineering Books

1. The Data Engineering Cookbook by Andreas Kretz

This Data Engineering Cookbook by Andreas Kretz is best for Mastering the plumbing of data science. This book covers every concept that you need to learn in detail to become a successful and proficient Data Engineer.

Link of the book -> CLICK HERE

2. Designing Data-Intensive Applications 

This is an interesting book by Martin Kleppmann in which he has given a practical and comprehensive guide, pros and cons of various technologies for processing and storing data.

Link of the book -> CLICK HERE

3. Spark: The Definitive Guide

The popularity and demand of the Apache Spark have seen immense growth over the past years. With this book written by Bill Chambers and Matei Zaharia, you learn how to deploy, use, and maintain Apache spark.

Link of the book -> CLICK HERE

Data Engineering Youtube Tutorials

1.    How to Become a Data Engineer in 2020

2.     Data Engineering using Python | What is Data Engineering | Intellipaat

3.     Introduction to Data Engineering

Data Engineering Blog Posts

1.     A Beginner’s Guide to Data Engineering – Part 1

2.    A Beginner’s Guide to Data Engineering – Part 2

3.     The Rise of the Data Engineer

4.     Questioning the Lambda Architecture

How to be a Data Engineer / Beginner roadmap to become a Data Engineer

Data Engineers are expected to have expertise in various tools and software along with programming languages used by various Data interpreting professionals. One should have a learning passion to update his technical skills in the field of Data Engineering.

However, beginners always get confused about where to start, and where to end, which resources can help me, what qualifications do I need to become a professional Data Engineer. This roadmap is for beginners who want to become a successful Data Engineer and a boost to their career.

The first thing every beginner should have is to earn an undergraduate degree with majors including software engineering or computer science or computer science engineering or information technology. You should have a good knowledge of programming languages, software designing, data structures, and DBMS.

Get your first job, of course, it will be an entry-level job, but it will help you a lot to hone your skills, master programming, and software designing, you will get an idea of how things work in the professional IT industry. Remember you don’t have to stop your learning, just try to learn more about data engineering, its job opportunities, and the skills required. 

Now you have experience and knowledge about data engineering, so it’s time to get your first job as a data engineer. Just sign up for various job platforms and get to know which companies are hiring data engineers. Explore the position, location, value of the company, and the package offered. Meanwhile, try to work on your projects as most of these companies will review your projects deeply. Join any one of them if the job profile is as per your requirement.

Now you will need professional certification to become a professional Data Engineer, just explore our Data Engineer certifications section in this post and give the exam of the certification to receive the professional certificate. These certificates are not similar to certificates you received in your college or school, they are professional certificates and are only provided to the experienced, knowledgeable professional who clears their exams.

If you desire then you can also go for higher studies to get a higher degree such as a master’s in computer science engineering. Data Engineering does not focus on your academic, strong designing, and programming skills are enough along with experience. Pursuing a higher degree is completely your choice.

The job role of the Data Engineer

The job role of the Data Engineers is mostly research and implementation. They work in collaboration with Data Analysts, Data Scientist, and other Data professionals to implement, design, verify, and maintain software systems.

Data Engineer extracts the useful data from large datasets and transfers it from one database to another. They use different programming and scripting languages as per their need. 

They build data architectures and pipelines for processing, ingestion, and surfacing of data for large scale applications.

Data Engineer Job and Salaries

Data Engineers are one of the highest paying job profiles in the industry. The demand for Data Engineers is growing rapidly as every big MNCs are hiring Data Engineers to maintain data pipelines, warehousing big data, developing their infrastructure, and handling various other roles. 

According to PayScale the average salary of a Data Engineer is $92,445 per annum. This average salary is comparatively more than various other job salaries in the market.

Conclusion

Data Engineers are becoming a valuable asset to the company providing services and features to use and handle data in various ways in collaboration with other Data professionals. Data Engineers are always expected to have various expertise in the field and that’s the reason why they are paid well.

This is one of the best career options for students or freshers who want to earn well and live a respected professional life. Data Engineers have a senior position in the company and are treated respectfully. 

Data Engineering requires a level of experience and skills, in this post of best data engineering courses online, we have tried to cover every popular course, program, and resources which can be very useful for a beginner to learn various skills and concepts required to become a successful Data Engineer. You can bookmark this page for having useful resources and the best guide for Data Engineering courses 2020.

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