Writing from our team. The latest news, insights, and resources.
Referring a friend to something you genuinely believe in is one of the simplest yet most powerful ways to create opportunities. With that in mind, we’re excited to introduce the Data Engineer Academy Referral Program—a way to reward you for sharing the benefits of industry-leading data engineering training with the people you know. We designed...
In today’s digital world, both individuals and businesses require a powerful website. However, finding a trustworthy hosting company is an important step in creating a website. Amazon Web Services (AWS) EC2 provides a strong and scalable infrastructure for hosting websites, making it a great alternative for your hosting requirements. Step-by-step instructions for how to host...
Thinking about switching careers to data engineering? You’re not alone. With thousands going after every open role, standing out isn’t easy — especially when you’re balancing learning with everything else in your life. There’s a big debate right now: do you jump into a bootcamp, or should you look for something more personalized? If the...
Over the last decade, the technology sector has undergone a seismic shift, evolving from a supportive function into the backbone of nearly every industry. From powering personalized recommendations in e-commerce to enabling breakthroughs in artificial intelligence, coding professionals now play a central role in driving innovation. This transformation has made coding jobs not just in...
Learning SQL language requires a lot of practice and repetition to develop a deep understanding of how the SQL language works. The time it takes to learn SQL will vary depending on which level you start, how proficient you want to be, and how much time you have to invest in learning In addition, it’s...
Personal branding is about establishing a visible, distinctive image of yourself for your target audience—so people understand your skills, values, and how you work. For data engineers, it’s a practical way to stand out in a competitive field. In this guide, you’ll get a clear, step-by-step playbook to define your niche, build proof (portfolio), grow...
Snowflake Training helps you learn a cloud-native data platform built for scalability, cost control, and modern data workloads, especially when legacy warehouses struggle with real-time needs. This article gives you the “why,” the architecture fundamentals, the job-market context, and a clear learning roadmap from SQL foundations to Snowflake projects and interview prep. If you want...
Python is an easy-to-learn language that’s widely used for data work—especially in data engineering, where handling and analyzing large datasets is a daily job. This Python Tutorial Course from Data Engineer Academy is built to take you from fundamentals to more advanced techniques through hands-on practice. Here’s the full “beginner to pro” path, broken into...
To build a resilient, feature-rich data infrastructure, data engineers use a mix of programming languages, data management tools, data warehouses, and pipeline systems to process data at scale. When these tools work together, teams can build reliable technology platforms that help businesses use data for decision-making, innovation, and growth. In this guide, you’ll see the...
If you work with data or you are trying to break into data engineering, Azure is one of the clearest paths to high pay in 2025. Companies keep moving analytics and AI workloads into Azure, and they need people who can move, model, and govern that data safely. This is great news for you. Azure...
Mastering PySpark is a game-changer if you’re aiming for a data engineering role. As companies deal with ever-growing data, they need engineers who can use PySpark to process big data efficiently. That’s why PySpark skills often show up in data engineer interviews. Knowing how to work with PySpark not only boosts your confidence but also...
Python is the backbone of modern data engineering. As one of the most versatile and in-demand programming languages, Python is a cornerstone for solving data challenges and building efficient pipelines. You might feel confident after a few Python classes or scripts, but day-to-day data engineering will quickly reveal gaps in your Python mastery. Many junior...
Are you a software engineer, data analyst, or machine learning enthusiast looking to transition into Data Engineering? You’re not alone. As companies increasingly rely on data-driven decision-making, the demand for skilled Data Engineers is skyrocketing. The Data Engineer Academy provides comprehensive resources for professionals looking to transition into Data Engineering. This guide will walk you...
Preparing for Data Warehousing interviews can be overwhelming, especially for candidates encountering these concepts and technologies for the first time. Success in such interviews requires theoretical knowledge and the ability to apply it practically and explain your reasoning clearly. At Data Engineer Academy, we specialize in preparing candidates for roles in data engineering, including data...
The landscape of data engineering is on the cusp of a significant transformation, driven by the emergence of AI Agents and autonomous data systems. These innovative technologies are poised to revolutionize the way data is processed, analyzed, and utilized, enabling organizations to make more informed decisions and drive business growth. Discover the latest AI tools...
System design for data engineers is no longer optional – it’s now the cornerstone of delivering robust, AI-driven data solutions in 2025. As data platforms become increasingly complex and AI applications become ubiquitous in analytics and products, data engineers must elevate their system design capabilities. In this comprehensive guide (building on our Beginner’s Guide to System Design),...