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The Data Engineering Bootcamp: Zero to Mastery | ZeroToMastery [Update 07/2025]
English | Size: 2.5 GB
Genre: eLearning[/center]

Learn Data Engineering end-to-end. Build real-time pipelines with Apache Kafka & Flink, data lakes on AWS, machine learning workflows with Spark, and integrate LLMs into production-ready systems. Designed to launch your career as a future-ready Data Engineer.

What you'll learn
Learn the skills and real-world tools used by Data Engineers and become top 10% in your field
Build stream-processing pipelines with Apache Kafka and Apache Flink
Create scalable, cloud-based data lakes on AWS using S3, EMR, and Athena
Develop distributed processing jobs with Apache Spark and orchestrate workflows with Apache Airflow
Future-proof your skills by learning to integrate AI & machine learning including using Spark ML and LLMs
Build real-world, production-ready projects and pipelines using popular open source software

Data Engineering has rapidly become one of the fastest-growing and most in-demand tech careers today. The field has seen a remarkable remarkable year-over-year growth (25% to 50% depending on the source), as businesses across industries ramp up their data infrastructure to support AI, analytics, and real-time applications.

In fact, over 20,000 new Data Engineering jobs were created last year alone, pushing total job openings in North America to approximately 150,000 - a clear sign of an industry that's gaining serious momentum.

The earning potential for Data Engineers is just as impressive. U.S. professionals in this field enjoy average base salaries that start at $80,000-$110,000 for entry-level roles and can scale up to $190,000-$200,000+ for senior-level positions.

What makes Data Engineering even more attractive is the strategic role it plays in modern tech. Data Engineers are the backbone behind AI systems, machine learning models, and analytics platforms, making them absolutely vital to development of modern products and continuous innovation.

That means as the AI industry continues to explode, Data Engineering will explode alongside it.

This has led to a significant talent shortage that's driving up salaries and increasing remote work flexibility. Compared to Data Science, Data Engineering remains a less saturated yet faster-growing field, creating the potential for long-term career growth and job security.

Why this Data Engineering Bootcamp course?
Because this Data Engineering Bootcamp is focused on being comprehensive but efficient, while teaching you everything you need to become a Data Engineer step-by-step.

You'll start with Apache Spark, where you'll learn how to crunch massive, real-world Airbnb datasets using code. Then, you'll move on to building a modern data lake on AWS - no fluff, just real tools like S3, Elastic Map Reduce, Glue, and Athena. You'll orchestrate your data pipelines with Apache Airflow and dive into streaming with Kafka and Flink to build real-time systems. And so much more!

Plus you'll be at the forefront of the data engineering world by getting hands-on experience building stream processing applications using Apache Kafka and Apache Flink, and even incorporating Machine Learning, AI, and LLMs directly into your data workflows.

By the end, you'll know how to build end-to-end, production-grade data systems...the same skills hiring managers are actively looking for.

So you never have to waste your time on confusing, out-of-date, incomplete tutorials anymore.

And you'll be learning data engineering in a fun and supportive environment with your instructor and other ZTM students, all while working at your own pace!

That's because by enrolling today, you'll also get to join our exclusive live online community classroom to learn alongside thousands of students, alumni, mentors, TAs and Instructors.

Most importantly, you will be learning from an industry expert that has actual real-world experience working as a Data & Software Engineer for some of the largest companies including Amazon and Stripe.

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