Blog

Writing from our team. The latest news, insights, and resources.

Data Modeling for Data Engineers: Best Practices & Tips

Mastering data modeling is not just a skill — it’s a gateway to building scalable, efficient data systems that empower businesses to make smarter decisions. For aspiring and seasoned data engineers alike, understanding how to create meaningful models can elevate your career trajectory, opening doors to advanced roles and challenging projects. Data Engineer Academy provides...

By: Chris Garzon | December 12, 2024 | 13 mins read
Learn More

Best-Paying Cloud Engineering Roles in 2025: AWS, Azure, GCP

Cloud engineering has quickly become one of the most lucrative and in-demand career paths in the tech industry. As businesses across the globe increasingly rely on cloud computing to power their operations, the demand for skilled professionals in platforms like AWS (Amazon Web Services), Microsoft Azure, and Google Cloud Platform (GCP) continues to grow. By...

By: Chris Garzon | November 29, 2024 | 5 mins read
Learn More

From Data Engineering Intern to Full-Time: How to Make the Leap

Starting as a data engineering intern is an exciting first step into a dynamic and fast-growing field. Internships offer invaluable hands-on experience, introducing you to the tools, workflows, and challenges of modern data engineering. However, making the transition from intern to a full-time role is not guaranteed — it requires effort, strategy, and a proactive...

By: Chris Garzon | November 19, 2024 | 6 mins read
Learn More
interview preparation strategies

Effective Interview Preparation Strategies for Data Engineering Jobs

Data engineering is pivotal in enabling businesses to collect, process, and store vast amounts of data — making it accessible for analysis, reporting, and decision-making. This growing demand has transformed data engineering into one of the most desirable career paths in the tech world. However, with the increasing competition for data engineering positions, it’s essential...

By: Chris Garzon | November 12, 2024 | 10 mins read
Learn More

Data Engineer vs ETL Developer: Key Differences

In an age where data not only informs but also transforms business strategies, understanding the nuances of these positions is more crucial than ever. This exploration is not just a comparison; it’s a deep dive into Data Engineering and ETL Development. Whether you’re a budding professional deciding on a career path or an industry veteran...

By: Chris Garzon | November 1, 2024 | 11 mins read
Learn More

Snowflake Tutorial Overview [2024]

Snowflake is changing how organizations manage and analyze their data with its innovative cloud data platform. Unlike traditional systems, Snowflake separates storage and compute resources, offering flexibility and scalability. This design allows users to scale their data operations efficiently without sacrificing performance or security. Consequently, Snowflake has become a top choice for data engineers, analysts,...

By: Chris Garzon | October 23, 2024 | 14 mins read
Learn More

Top Snowflake Interview Questions and Answers

For data engineers, mastering Snowflake is a critical skill as organizations increasingly move to cloud-native solutions. Snowflake’s seamless integration with cloud providers such as AWS, Azure, and Google Cloud makes it a versatile tool across industries, providing robust support for analytics, machine learning, and real-time data pipelines. By learning Snowflake, data engineers can unlock new...

By: Chris Garzon | October 8, 2024 | 14 mins read
Learn More

How to Become a Data Visualization Engineer

A data visualization engineer specializes in transforming complex data into easy-to-understand and actionable visual formats. While data is the backbone of modern decision-making, raw numbers can only be overwhelming without a clear way to interpret them. This is where data visualization engineers come in. They use tools like Tableau, Power BI, and D3.js, along with...

By: Chris Garzon | October 3, 2024 | 12 mins read
Learn More

Introduction Microsoft Azure [Best Azure Course]

From infrastructure as a service (IaaS) to platform as a service (PaaS) and software as a service (SaaS), Azure enables companies to build, deploy, and manage applications on a global scale. Whether you’re aiming to develop cutting-edge applications, enhance data analytics, or modernize legacy systems, Azure provides the tools and scalability needed to drive innovation...

By: Chris Garzon | September 24, 2024 | 13 mins read
Learn More

Kafka vs SQS. Comparison and Differences

In data engineering, the choice between Apache Kafka and Amazon SQS can feel like picking the right tool for two very different jobs. Kafka is synonymous with real-time data streaming and event-driven architecture, making it the backbone of many high-throughput systems that require speed, scalability, and fault tolerance. It’s the preferred choice for complex data...

By: Chris Garzon | September 20, 2024 | 12 mins read
Learn More

How can we compare the data technologists with the non-data technologists?

Defining Data Technologists and Non-Data Technologists Data technologists are specialists who thrive on turning raw data into valuable insights. They helping businesses make informed decisions based on data analysis. Unlike their counterparts, their work revolves around understanding and interpreting complex data sets. These professionals manage data storage, ensuring that information is both secure and accessible....

By: Chris Garzon | July 30, 2024 | 10 mins read
Learn More

Data Engineer Resume: Best Practices and Templates

In the competitive field of data engineering, your resume is more than just a summary of your experience – it’s your ticket to exciting career opportunities. This article will guide you through crafting a data engineer resume, spotlighting your skills, and navigating through the nuances of what makes a resume truly impactful. Understanding the Data...

By: Chris Garzon | July 19, 2024 | 12 mins read
Learn More

Data Science vs Data Engineering

Data science and data engineering are two distinct but closely related fields within the realm of data analytics. Data Science specializes in extracting insights and knowledge from data using statistical and machine learning techniques. Whereas Data Engineering is concerned with developing and managing the infrastructure and systems required to handle huge amounts of data. Teamwork between data scientists...

By: Chris Garzon | June 5, 2024 | 16 mins read
Learn More

15 SQL Skills You Need to Know in 2024

Data engineers and other technical professionals will still need to know SQL in 2024 in order to handle and manipulate data effectively. Advanced SQL skills are becoming more and more necessary as the need for data-driven decision making increases. Whether you’re an experienced professional or an aspiring data engineer, learning SQL can greatly improve your...

By: Chris Garzon | June 5, 2024 | 9 mins read
Learn More