#dataengineer #azuredataengineer #awsdataengineer
Welcome to our comprehensive guide on Data Engineer interview questions and answers! In this video, we'll cover the essential questions that help you prepare for data engineering roles, whether you're a beginner or experienced professional. We'll explore technical and scenario-based questions covering SQL, ETL pipelines, data warehousing, cloud platforms, Big Data frameworks (Hadoop, Spark), Python, data modeling, and more.
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Please like & share the video.
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script
CREATE TABLE Employee (
employee_id INT ,
employee_name VARCHAR(50),
department_id INT,
position VARCHAR(50),
salary DECIMAL(10, 2)
);
INSERT INTO Employee (employee_id, employee_name, department_id, position, salary)
VALUES
(1, 'Alice Johnson', 101, 'Software Engineer', 70000),
(2, 'Bob Smith', 102, 'Data Scientist', 80000),
(3, 'Carol White', 103, 'Project Manager', 75000),
(4, 'David Brown', 104, 'Quality Assurance', 60000),
(5, 'Eva Green', 105, 'HR Specialist', 55000),
(6, 'Frank Martin', 101, 'Software Engineer', 70000),
(3, 'Carol White', 103, 'Project Manager', 75000),
(4, 'David Brown', 104, 'Quality Assurance', 60000)
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AWS DATA ENGINEER : • AWS DATA ENGINEER
Azure data factory :
• Azure Data Factory
Azure data engineer playlist : • Azure Data Engineer
SQL PLAYLIST : • SQL playlist
PYSPARK PLAYLIST -
• Pyspark Tutorial
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what we have covered in this video:
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Hope you liked this video and learned something new :)
See you in next video, until then Bye-Bye!
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