Modules

How to Successfully Negotiate a Signing Bonus in Tech

Navigating the job market can feel overwhelming, especially in tech roles where competition is fierce. For data engineers and career shifters, securing a signing bonus can enhance overall compensation and recognizes your value. But negotiating this aspect of your job offer requires strategy and preparation. Let’s explore how you can effectively approach this negotiation. Understanding...

Learn More

Ace Your SQL Interview: Dos and Don’ts That Landed Me a Job at Amazon

Landing a job as a Data Analyst, Data Engineer, BI Engineer, or Cloud Engineer often hinges on how well you perform in your SQL interview. While technical skills are crucial, they aren’t the only factor. Communication, collaboration, and problem-solving abilities play a significant role in showcasing your true potential. I’m going to break down the...

Learn More

100+ Python Coding Questions for Data Engineers

Python has become the go-to language for data engineers, and it’s no surprise why. With its flexibility, readability, and endless library options, Python empowers engineers to tackle everything from data pipelines to machine learning workflows. But here’s the catch—just knowing Python isn’t enough. To stand out in interviews, you need to master tailored Python coding...

Learn More

What to Include in a Data Engineering Portfolio to Stand Out

In today’s competitive job market, having a standout data engineering portfolio is not just advantageous—it’s essential. Your portfolio acts as a prime showcase of your skills and experience, proving to potential employers that you have what it takes to succeed in the field. With the right projects and presentation, your portfolio can set you apart...

Learn More

Complete Guide to Data Engineer Interview Prep

Preparing for a data engineering interview can feel overwhelming, but it doesn’t have to be. The right strategies can make all the difference. This guide breaks down everything you need to know—technical skills, practice tips, and even what to expect on the big day—to help you approach your interview with confidence. Resources like Data Engineer...

Learn More

Inside the Life of a Data Engineer at Lyft – Daily Workflow

Spending a day in the life of a data engineer might surprise you. Contrary to popular belief, coding takes up only a fraction of the day. If you’re considering a career in data engineering, understanding the reality of the job and its unique challenges is vital. In this article, we’ll break down a typical day...

Learn More

Most Common Behavioral Interview Questions and How to Answer Them

In today’s competitive job market, interviews are more than just a walk-through of your resume; they are a critical assessment of your skills, experience, and how you handle real-world scenarios. For aspiring data engineers and data analysts, understanding the most frequently asked behavioral interview questions is essential. This article focuses on the top behavioral question...

Learn More

Why Companies Struggle to Hire Good Data Engineers

Finding and hiring good data engineers is tougher than you might think. Companies often struggle for a variety of reasons, ranging from unclear expectations to a disconnect between the skills they need and what candidates possess. This isn’t just a talent issue—it’s also about understanding the critical role data engineers play. These professionals are key...

Learn More

The 3 Most Costly Mistakes I Made as a Data Engineer and How to Avoid Them

Embarking on a career in data engineering is exciting, but the path isn’t always straightforward. Mistakes are part and parcel of the learning process, even for seasoned professionals. This article explores three significant mistakes commonly made in data engineering and offers insights on how to avoid them, ensuring you enhance your skills and improve your...

Learn More

ETL Data Extraction Explained in Just 5 Minutes

ETL stands for Extract, Transform, Load — three essential processes in data integration. Each phase plays a vital role in preparing data for analysis and reporting. We will focus on the extraction part, which involves pulling raw data from various source systems. Understanding Data Extraction Data extraction refers to the process of retrieving data from...

Learn More

Data Engineering 2025: The Ultimate 1-Hour Crash Course

This comprehensive crash course is designed to equip you with the knowledge and strategies needed to excel in data engineering interviews in 2025. By the end of this post, you will learn crucial resume tips and interview strategies that can significantly enhance your chances of success. Understanding the Data Engineering Landscape The Importance of a...

Learn More

Master SQL North Star Concepts for Data Interviews in 2025

Understanding the North Star Strategy The North Star strategy is designed to help you efficiently tackle SQL interview questions. The goal is to complete three questions—one easy, one medium, and one advanced—within a 50-minute timeframe. This approach mirrors the format of many technical interviews, allowing you to maximize your performance. The Importance of Question Selection...

Learn More

GROUP BY SQL Guide – Quick and Easy Answers for Interview Success

In the world of data engineering, SQL plays a crucial role in managing and manipulating relational databases. One of the essential components of SQL is the GROUP BY clause, which allows users to arrange and summarize data based on specific columns. This article delves into the intricacies of the GROUP BY clause and provides practical examples to...

Learn More

LinkedIn Optimization Strategies to Land More Data Jobs

At Data Engineer Academy, we specialize in profile optimization, and in this post, we’ll share essential tips to enhance your LinkedIn presence and attract recruiters effortlessly. Why Optimize Your LinkedIn Profile? Optimizing your LinkedIn profile is not just about aesthetics; it’s about making yourself discoverable to recruiters. With the recent introduction of profile verification, you...

Learn More