ProjectPro

JUNE 6, 2025

No, that is not the only job in the data world. Data professionals who work with raw data, like data engineers, data analysts, machine learning scientists , and machine learning engineers , also play a crucial role in any data science project. Build your Data Engineer Portfolio with ProjectPro!

Data Engineering 59

Data Engineering Data Engineer Project Engineering 59

Maxime Beauchemin

JANUARY 20, 2017

I joined Facebook in 2011 as a business intelligence engineer. By the time I left in 2013, I was a data engineer. We were developing new skills, new ways of doing things, new tools, and — more often than not — turning our backs to traditional methods. We were data engineers! Data Engineering?

Data Engineering 130

Data Engineering Data Engineer Engineering Database-centric 130

ProjectPro

JUNE 6, 2025

This blog post provides an overview of the top 10 data engineering tools for building a robust data architecture to support smooth business operations. We will discuss each tool's features, pros, and cons to help you understand the reason for its popularity. Table of Contents What are Data Engineering Tools?

Data Engineering 45

Data Engineering Data Engineer Engineering Kafka 45

ProjectPro

JUNE 6, 2025

Experts predict that by 2025, the global big data and data engineering market will reach $125.89 billion, and those with skills in cloud-based ETL tools and distributed systems will be in the highest demand. But what does it take to become an ETL Data Engineer?

Data Engineering 40

Data Engineering Data Engineer Engineering ETL Tools 40

ProjectPro

JUNE 6, 2025

Becoming a data engineer can be challenging, but we are here to make the journey easier. In this blog, we have curated a list of the best data engineering courses so you can master this challenging field with confidence. Say goodbye to confusion and hello to a clear path to data engineering expertise!

Data Engineering 45

Data Engineering Data Engineer Cloud Engineering 45

ProjectPro

JUNE 6, 2025

Businesses are finding new methods to benefit from data. Data engineering entails building data pipelines for ingesting, modifying, supplying, and sharing data for analysis. Therefore, every decision is reviewed with this approach to develop new data-driven judgments. ETL vs. ELT- How do they Differ ?

Data Engineering 40

Data Engineering Data Engineer Engineering Data Lake 40

ProjectPro

JUNE 6, 2025

Azure Data Factory and Databricks are two popular cloud-based data integration and ETL tools that can handle various types of data, including structured-unstructured data, and batch-streaming data. Here is a detailed comparison between Azure Databricks vs. Data Factory. PREVIOUS NEXT <

Data Engineering 40

Data Engineering Data Engineer Engineering Project 40

ProjectPro

JUNE 6, 2025

Microsoft's Azure Synapse Analytics (formerly SQL Data Warehouse) is a cloud data warehouse that combines data integration , data exploration, enterprise data warehousing, and big data analytics to offer a unified workspace for creating end-to-end analytics solutions.

Data Engineering 40

Data Engineering Data Engineer Engineering Data Lake 40

ProjectPro

JUNE 6, 2025

Its intuitive, and data engineer-friendly interface helps anyone efficiently work with data at scale. The No-Code orchestration offered by Data Factory makes it an effective tool for any data engineer. The demand for data engineering will only grow as the data industry grows.

Data Lake 60

Data Lake Metadata SQL Datasets 60

ProjectPro

JUNE 6, 2025

According to a survey, big data engineering job interviews increased by 40% in 2020 compared to only a 10% rise in Data science job interviews. Table of Contents Big Data Engineer - The Market Demand Who is a Big Data Engineer? Most of these are performed by Data Engineers.

Big Data 40

Big Data Data Engineering Data Engineer Engineering 40

ProjectPro

JUNE 6, 2025

This blog is your one-stop solution for the top 100+ Data Engineer Interview Questions and Answers. In this blog, we have collated the frequently asked data engineer interview questions based on tools and technologies that are highly useful for a data engineer in the Big Data industry.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

JUNE 6, 2025

That's where ETL (Extract, Transform, Load) comes into play. So, if you are a big data enthusiast, a data engineer, or just someone keen to leverage the power of data, learning ETL is your ticket to turning chaos into clarity. Let’s jump right into your ETL journey! Is ETL Hard To Learn?

ETL Tools 45

ETL Tools AWS Data Validation Big Data 45

ProjectPro

JUNE 6, 2025

With so many data engineering certifications available , choosing the right one can be a daunting task. There are over 133K data engineer job openings in the US, but how will you stand out in such a crowded job market? The answer is- by earning professional data engineering certifications! AWS or Azure?

Certification 40

Certification Data Engineering Data Engineer Engineering 40

ProjectPro

JUNE 6, 2025

Among the numerous certifications available, Google Certified Professional Data Engineer stands out as a testament to one's expertise in handling and transforming data on the Google Cloud Platform. This blog is your go-to guide if you aim to become a Google Certified Professional Data Engineer.

Data Engineering 40

Data Engineering Data Engineer Google Cloud Engineering 40

ProjectPro

JUNE 6, 2025

Worried about building a great data engineer resume ? Read this data engineer resume guide to learn how to write a killer data engineer resume before applying for your next data engineer job. 180 zettabytes- the amount of data we will likely generate by 2025! The Linkedin 2020 U.S.

Data Engineering 40

Data Engineering Data Engineer Recruitment Building 40

Knowledge Hut

MAY 3, 2023

With companies increasingly relying on data-driven insights to make informed decisions, there has never been a greater need for skilled specialists who can manage and evaluate vast amounts of data. The roles of data analyst and data engineer have emerged as two of the most in-demand professions in today's job market.

Data Engineering 98

Data Engineering Data Engineer Engineering Data Cleanse 98

Towards Data Science

NOVEMBER 4, 2023

Platform Specific Tools and Advanced Techniques Photo by Christopher Burns on Unsplash The modern data ecosystem keeps evolving and new data tools emerge now and then. In this article, I want to talk about crucial things that affect data engineers. Data warehouse exmaple. What is it?

Data Engineering 98

Data Engineering Data Engineer Engineering BI 98

ProjectPro

JUNE 6, 2025

ETL Developer Skills 1. Know-How of ETL Tools Knowledge of ETL tools such as Talend , Informatica, and Microsoft SSIS 2. SQL Proficiency in SQL for querying and manipulating data from various databases. Focussed on designing, building, and maintaining large-scale data processing systems.

ETL Tools 40

ETL Tools Data Cleanse Data Warehouse Big Data 40

ProjectPro

JUNE 6, 2025

A survey by Data Warehousing Institute TDWI found that AWS Glue and Azure Data Factory are the most popular cloud ETL tools with 69% and 67% of the survey respondents mentioning that they have been using them. Both AWS Glue and Azure Data Factory can import SSIS packages. PREVIOUS NEXT <

AWS 40

AWS Cloud Amazon Web Services ETL Tools 40

ProjectPro

JUNE 6, 2025

ETL is a critical component of success for most data engineering teams, and with teams harnessing it with the power of AWS, the stakes are higher than ever. Data Engineers and Data Scientists require efficient methods for managing large databases, which is why centralized data warehouses are in high demand.

AWS 40

AWS Data Management ETL Tools Management 40

ProjectPro

JUNE 6, 2025

Snowflake Basic Interview Questions Below are some basic questions for the Snowflake data engineer interview. SQL database serves as the foundation for Snowflake. It is a columnar-stored relational database that integrates seamlessly with various tools, including Excel and Tableau. How does Snowflake store data?

Amazon Web Services 40

Amazon Web Services Data Warehouse ETL Tools AWS 40

AltexSoft

OCTOBER 30, 2021

If you’re an executive who has a hard time understanding the underlying processes of data science and get confused with terminology, keep reading. We will try to answer your questions and explain how two critical data jobs are different and where they overlap. Data science vs data engineering.

Data Engineering 98

Data Engineering Data Engineer Engineering Machine Learning 98

Netflix Tech

JULY 15, 2021

Data Engineers of Netflix?—?Interview Interview with Kevin Wylie This post is part of our “Data Engineers of Netflix” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Kevin, what drew you to data engineering?

Data Engineering 82

Data Engineering Data Engineer Engineering Entertainment 82

ProjectPro

JUNE 6, 2025

Open source tools like Apache Airflow have been developed to cope with the challenges of handling voluminous data. This article comprehensively looks at what is Apache Airflow and evaluates whether it's the right tool of choice for data engineers and data scientists. Is Airflow an ETL Tool?

Data Pipeline 45

Data Pipeline Building Data Lake Raw Data 45

ProjectPro

JUNE 6, 2025

Here’s a sample Data Modeler job description for Accenture (USA)- Now that you know what a sample data modeler job description looks like, let us get a brief overview of the key roles and responsibilities of a data modeler. Kickstart your data engineer career with end-to-end solved big data projects for beginners.

NoSQL 40

NoSQL ETL Tools Certification SQL 40

Ascend.io

OCTOBER 28, 2024

You might even think of effective data transformation like a powerful magnet that draws the needle from the stack, leaving the hay behind. In this blog post, we’ll explore fundamental concepts, intermediate strategies, and cutting-edge techniques that are shaping the future of data engineering.

Raw Data 52

Raw Data Aggregated Data Data Pipeline Data Validation 52

ProjectPro

JUNE 6, 2025

Today, data engineers are constantly dealing with a flood of information and the challenge of turning it into something useful. The journey from raw data to meaningful insights is no walk in the park. It requires a skillful blend of data engineering expertise and the strategic use of tools designed to streamline this process.

Data Pipeline 49

Data Pipeline Google Cloud Kafka AWS 49

Data Engineering Weekly

DECEMBER 18, 2023

Lorin Hochstein: “Human error” means they don’t understand how the system worked The post is not directly related to Data Engineering but system operations in general. I included this post because I often see high-pitched LinkedIn posts stating it is the human fault, especially around data quality issues.

Data Engineering 67

Data Engineering Data Engineer Engineering Food 67

ProjectPro

JUNE 6, 2025

Stay updated with the latest cutting-edge data architecture strategies. Organize and categorize data from various structured and unstructured data sources. Design and prepare data in a framework used by data scientists, data analysts, and data engineers. How Much Does a Data Architect Make?

Data Architect 40

Data Architect Data Mining Programming Language Java 40

ProjectPro

JUNE 6, 2025

Get ready for your data engineering interview with this essential guide featuring the top DBT interview questions and answers for 2024. The growing demand for data-driven decision-making has made tools like DBT (Data Build Tool) essential in the modern data engineering landscape.

Raw Data 40

Raw Data SQL Datasets Data Pipeline 40

Knowledge Hut

OCTOBER 31, 2023

Two of the most well-known cloud service providers, Amazon Web Services (AWS) and Microsoft Azure, provide reliable data engineering solutions. Often, aspiring data engineers must choose between two options: AWS data engineer or Azure data engineer.

Data Engineering 52

Data Engineering Data Engineer AWS Engineering 52

Meltano

OCTOBER 5, 2022

Interested in becoming a data engineer? The need for data experts in the U.S. job market is expected to grow by 22% in this decade, and according to LinkedIn’s 2020 report , a data engineer is listed as the 8th fastest growing job today. But what is data engineering exactly and what does a data engineer do?

Data Engineering 52

Data Engineering Data Engineer Engineering Raw Data 52

ProjectPro

JUNE 6, 2025

Statistical Profiling: Statistical profiling involves analyzing the statistical properties of the source data. By understanding these statistical characteristics, data engineers can identify anomalies, outliers, or patterns that deviate from the expected values. How to Check Data Quality for ETL Processes?

Building 40

Building High Quality Data Datasets Hadoop 40

ProjectPro

JUNE 6, 2025

Google Dataflow's serverless approach eliminates operational overhead from data engineering workloads. Moreover, Dataflow allows customer-managed encryption keys (CMEK) to provide CMEK-protected data on the cloud. This feature can join streaming data from Pub/Sub with files in Google Cloud Storage or BigQuery tables.

Google Cloud 40

Google Cloud Java Data Ingestion SQL 40

ProjectPro

JUNE 6, 2025

Due to this, big data tools have become significant for businesses and data professionals. Data engineers develop the technology infrastructure for big data and data science projects. Designing and managing data flows to support analytical initiatives is the core responsibility of a data engineer.

Big Data Tools 40

Big Data Tools Big Data Hadoop Kafka 40

ProjectPro

JUNE 6, 2025

This process enables quick data analysis and consistent data quality, crucial for generating quality insights through data analytics or building machine learning models. Build a Job Winning Data Engineer Portfolio with Solved End-to-End Big Data Projects What is an ETL Data Pipeline?

Data Pipeline 40

Data Pipeline Architecture Kafka Data Lake 40

ProjectPro

JUNE 6, 2025

Planning to land a successful job as an Azure Data Engineer? Read this blog till the end to learn more about the roles and responsibilities, necessary skillsets, average salaries, and various important certifications that will help you build a successful career as an Azure Data Engineer.

Data Engineering 49

Data Engineering Data Engineer Engineering Certification 49