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!
Who this course is for:
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
Homepage

https://www.udemy.com/course/technical-interview-data-engineering-get-a-well-paid-job/

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