Introduction : 

With an enormous ocean of new Technologies, the data engineering field has risen aggressively this decade. Electing your career journey as a data engineer is a well-paid job opportunity.  Our comprehensive modern roadmap will guide you through the basics to advanced step-by-step concepts with the best data engineering courses. This roadmap is designed to navigate the steps to becoming a data engineer. Top Free course provide you with superior quality, excellent courses….all available for free

What is Data Engineering?

Data engineering is a data-driven field that can include web development, web designing, programming, and managing architectures for data collecting, processing, and analyzing and it also includes web securities. Data engineers create extensible databases to handle massive amounts of data. They build data pipelines to extract data for understanding the customer's insights to improve the sales and performance of an organization.

To become a data engineer our platform provides you top-notch data engineering courses online for free. You don't need to spend extra money on data engineering classes and data engineer training. Join the Top Free Course to learn data engineering without spending a dime.

Different Opportunities After Learning Data Engineering

In this dynamic world of technology data engineers play a crucial role in every sector, companies are collecting more and more data to improve performance and businesses. To handle the data emerging tools and technologies. This means data engineers are high in demand. These are the different career opportunities in this field.

1. Big Data Engineer/Data Engineer

Big Data Engineers create data validation techniques to boost database performance, they build smart systems and data pipelines to handle massive amounts of data for uncovering insights.

2. Data Analyst

The main responsibilities of a Data Analyst are to convert raw data into organized information which will enhance products and services and help to make data-driven decisions.

3. Cloud Data Engineer

Cloud Data Engineer constructs cloud architecture and they develop infrastructure for organizations to work with cloud networks.

4. Data Architect

Data Architects design infrastructure to analyze data and create new databases to store and manage data for an organization.

5. Data Warehouse Engineer

The role of a Data Warehouse Engineer is to manage all back-end development, ETL  procedures, and cube building for databases, and they closely collaborate with product management.

6. Business Intelligence Engineer

A business intelligence engineer implements BI tools and systems for collecting, processing, and analyzing data to improve the efficiency of an organization.

Data Engineering Learning Roadmap

You need to learn at least one programming language like Python, Java, PHP, R, C. We recommend you learn Python for data engineering, the most popular programming language now.

2. Advanced in Mathematics and Statistics

You should be good at Mathematical calculations and understand the basics of Statistics like mean, mode, median, etc. to handle a large amount of data.

3. Understand Database Management Systems

To become a Data Engineer, You should learn various database management systems and software like MySQL, Oracle Database, Neo4J, Azure SQL, Apache Cassandra, MongoDB, etc.

4. ETL Tools

In the field of data engineering, you need to be proficient in ETL tools like Apache NiFi or Talend. With the help of these tools they extract data from various platforms, transform it, and load it into a data warehouse.

5. Dive into the Cloud Computing Platforms

As a Data Engineer, you need to Deep dive into the Cloud Computing platform like AWS, Azure, or Google Cloud Platform. Due to almost every organization transforming their data onto the cloud server.

6. Big Data Engineering Tools

To handle a huge amount of data and complex database structure, You need to be proficient in Big Data Engineering Tools like Kafka, Apache Hive, Apache Hadoop, Apache Spark, etc.

7. Machine Learning

As a Data Engineer, understanding the basics of ML and DL is complimentary for you, to handle a large data structure and algorithms or working with a data scientist, machine learning leverages its benefits.

Learning Path by Different Free Courses

Kickstart your career journey without breaking the bank, Shaping your future as a Data Engineer with a Top Free Course….

1. Database Engineering Complete Course

Course Link : Database Engineering Complete Course

Description : With this tutorial, you will understand core techniques and methods to structure and manage databases. Advanced techniques to write database-driven applications and advanced data modeling concepts. MySQL database management system (DBMS) and data creation, querying and manipulation. How to code and use Python Syntax How to prepare for technical interviews for database engineer roles.

2. HarvardX: CS50's Introduction to Programming with Python

Course Link : HarvardX: CS50's Introduction to Programming with Python

Description :  In this course, you will learn the fundamental essentials of Python programming. Dive into key concepts like functions, variables, conditionals, loops, unit tests, and file I/O.
You'll learn how to make your programs run smoothly by handling errors. You'll also find out how to use special tools (libraries) to do more things. You'll discover a powerful way to organize your code called Object-Oriented Programming. This will help you feel confident when solving different types of problems in programming.

3. Database Management Systems Full Course

Course Link : Database Management Systems Full Course

Description : In this course, you will discover the basics of Database Management Systems (DBMS) – a helpful software for creating and managing databases efficiently. Perfect for college students and those gearing up for GATE and campus interviews, this course covers essential DBMS concepts. Learn how DBMS controls data duplication, enhances security, and maintains consistency in a simple way. Dive into the world of databases, essential for e-commerce and web applications, and boost your knowledge by solving past GATE questions.

4. Learn ETL using SSIS

Course Link : Learn ETL using SSIS

Description : At the end of this course, students will be able to deploy and automate processes to extract data from various sources, transform them so that the data can be queried, and finally load them into a warehouse using SQL Server Integration Services. They would be able to apply these concepts in their day-to-day projects, where there might be a need to move data across systems and store it in a friendly query-able format for reporting and analysis

5. Google Cloud Big Data and Machine Learning Fundamentals

Course Link : Google Cloud Big Data and Machine Learning Fundamentals

Description : Learn to identify the data-to-AI lifecycle on Google Cloud and the major products of big data and machine learning. Design streaming pipelines with Dataflow and Pub/Sub.  Identify different options to build machine learning solutions on Google Cloud. Describe a machine learning workflow and the key steps with Vertex AI and build a machine learning pipeline using AutoML.

6. Machine Learning with Python: A Practical Introduction

Course Link : Machine Learning with Python: A Practical Introduction

Description : Learn the difference between the two main types of machine learning methods: supervised and unsupervised Supervised learning algorithms, including classification and regression Unsupervised learning algorithms, including Clustering and Dimensionality Reduction How statistical modeling relates to machine learning and how to compare them Real-life examples of the different ways machine learning affects society.

Conclusion

Career opportunities as a Data Engineer are like gold dust in this decade. Companies are collecting more and more data, and from small to big, all businesses rely on data to make informed decisions. To handle the emerging data tools and technologies, data engineers are high in demand.
Kickstart your career as a Data Engineer, this comprehensive roadmap is an advantageous way to escalate your command and expertise in the field of Data engineering. You don't need to pay extra money to learn data engineer or data engineer certification. Our platform offers a wide range of top-notch data engineering courses online from all over the world in one place, All available For FREE.