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...
System design — it’s a term that might sound intimidating at first, but it’s really all about creating scalable, efficient, and reliable systems. For new developers, understanding system design is essential for tackling real-world engineering problems and acing those high-stakes interviews. This guide is here to make things simple while covering the basics you need...
Preparing for a data engineering interview in 2025? If Python is part of your toolkit, you’re already on the right track. As one of the most versatile and in-demand programming languages, Python is a cornerstone for solving data challenges and building efficient pipelines. Recruiters want to see how well you can navigate real-world problems while...
The rise of AI in data visualization has made it easier than ever to turn complex data sets into actionable insights. But when should you rely on it, and when does it fall short? While AI can speed up workflows and reveal patterns we might not catch, there are still limitations — like over-reliance on...
SQL is the backbone of nearly every data engineering interview, and scenario-based questions are where things often get tricky. They’re meant to challenge your understanding and problem-solving skills, not just your ability to memorize commands. The good news? Confidence isn’t about knowing every answer right away—it’s about having a method to break down a problem...
I still remember the day I decided to take control of my career and make a real change. Fast forward, that decision led me to something incredible — I tripled my salary as a data engineer. It wasn’t some overnight success story, but rather a focused, step-by-step process that anyone can follow. In 2025, with...
Are you dreaming of a high-paying tech career but don’t know where to start? Data Engineering on AWS is one of the fastest-growing fields, offering endless opportunities. Companies need experts to build, manage, and optimize data pipelines — and that could be you! This guide will take you from zero to hero, helping you gain...
Data engineering is undergoing a major transformation. Traditional data warehouses struggle with scalability, cost, and real-time processing. Snowflake has emerged as the leading cloud-native data platform, designed to handle the demands of modern enterprises. Why Learn Snowflake? Top companies — including Fortune 500 giants — are migrating to Snowflake for several key reasons: Unlike traditional...
The evolution of artificial intelligence is often framed as a linear progression—more data, bigger models, and more powerful GPUs leading to increasingly sophisticated systems. However, this trajectory is fundamentally constrained by the underlying architectures of conventional AI. Neuromorphic computing presents a radical departure, not just in how models learn and infer but in the very...
Hiring a data engineer has never been more challenging. The demand for skilled professionals is skyrocketing, yet traditional hiring methods struggle to keep up. Manual resume screening is slow, technical evaluations are inconsistent, and unconscious bias can influence decisions. As a result, companies risk missing out on top talent while candidates face a frustrating, inefficient...
The field of data engineering is evolving rapidly, and AI-powered assistants are becoming essential tools for professionals who want to work smarter, not harder. Whether automating repetitive tasks, optimizing complex queries, or enhancing data workflows, AI reshapes how data engineers operate. With the growing demand for efficiency, tools like ChatGPT and DeepSeek have emerged as...
2025 will be the year of transformation—especially for those ready to pivot into the tech industry. The demand for skilled data engineers is skyrocketing as businesses across every sector scramble to harness the power of data to drive decisions, innovate, and stay competitive. If you’ve been considering switching careers, now is the time to act....
The data engineering future of FAANG+ companies in 2025 will be defined by advanced data systems orchestration, requiring mastery of a sophisticated set of technologies and methodologies. By 2025, FAANG+ companies will require data engineers to have a strong understanding of computer science principles and programming skills, as well as expertise in distributed data architectures,...
Why Developers Should Use AI Tools Software development has always been about solving problems and building tools for others. Today, artificial intelligence isn’t just a buzzword — it’s a toolkit. And for developers, especially data engineers, the question is no longer whether to use AI tools, but how effectively you can leverage them to work...
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...
