Data Engineer Technical Interview - Get A Well Paid Job

Learn how to prepare for the data engineer technical interview and get the best salary.

What you'll learn

How to build an ETL pipeline from a source db in order to create reports in Power BI

Learn the basics of Data Modelling to become familiar with core concepts

Learn the fundamentals of Data Vault 2.0

Hub, Links and Satellites and the use of hash keys and hash diffs

Data Acquisition with Azure Data Factory(ADF)

Data Storage with Azure Blob

Data Warehousing with Snowflake and creation of data model

Testing scenarios with SQL code snippets

Python, SQL and Pyspark

Version Control with GIT

Requirements

Understading the SQL fundamentals

No programming experience required

Description

There is too much information out there that one gets really paralyzed trying to know how to get the most in the least amount of time. That includes asking for the best salary too.This course is intended for those ones who want to get quickly a data engineer job in the market and check the 80% of the theory questions that will be asked in the live interview. After my experience of more than 20 data engineering interviews done in 2024 and 5 final offers received, I will help you by showing the most frequent questions, so you don't have to spend big amount of time going through this painful process.The course is going straight to the point with the list of questions most frequently asked and supported by some lectures and tips to boost your CV and the most common basic coding tests.The technologies that will be reviewed:Make a readable CVData Warehousing, Data Lake and Data ModellingSQLSnowflakePythonPysparkGITData Integration tools in the Azure Cloud with Azure Data Factory (ADF) CI/CD project developmentAgileTesting scenariosFINAL SECRET : The trick to get the best salary offer (worked 5/5 times) and that will boost your salary in a 10%. Never fails.Be confident , that after reviewing all these questions and lectures in about ~1hyou will land a very good remote data engineering job or at least be paid like you deserve.You may fail once but not twice!

Overview

Section 1: MANDATORY: Make a readable CV

Lecture 1 Not every CV will work

Section 2: Data Warehousing

Lecture 2 LIST OF QUESTIONS

Lecture 3 Data Vault explained - Hash keys and Hash Diffs

Lecture 4 Data Vault explained - Hash keys and Hash Diffs practice

Section 3: SQL

Lecture 5 LIST OF QUESTIONS

Lecture 6 LIST OF CODING TESTS AND SOLUTIONS

Section 4: Snowflake

Lecture 7 LIST OF QUESTIONS

Section 5: Python

Lecture 8 LIST OF QUESTIONS

Lecture 9 LIST OF CODING TESTS AND SOLUTIONS

Section 6: Pyspark

Lecture 10 LIST OF QUESTIONS

Lecture 11 Situational Question

Section 7: Version Control with GIT

Lecture 12 LIST OF QUESTIONS

Section 8: Data Integration tools

Lecture 13 Azure Data Factory - List of questions

Lecture 14 Basics of Azure Cloud

Lecture 15 Common mistakes creating pipelines

Lecture 16 Parse Json to CSV

Lecture 17 Parse Nested JSON to CSV

Lecture 18 Pagination Rules when parsing JSON

Lecture 19 Create Azure Function with Http Trigger in Python

Section 9: Soft Skills/Agile

Lecture 20 LIST OF QUESTIONS

Section 10: Testing scenarios

Lecture 21 LIST OF QUESTIONS

Section 11: SECRET - Salary Boost

Lecture 22 The +10% dollar question

Business Analysts/Data Engineers/Data Scientists that want to have an overall picture of whole ETL pipeline,Those in data related positions who want to solidify their knowledge with real example data engineering tasks,Those facing a job interview and want to grab a first experience data engineering project