Data Engineering Interview Mastery : A Practical Guide to SQL, Python, Spark, Cloud, Streaming, System Design, and Real-World Interview Problems

Language: English

Published by Amazon Digital Services LLC - Kdp Aug 2026, 2026

9798192863275

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Neuware - Data Engineering Interview Mastery is a practical, scenario-driven guide designed to help aspiring and experienced Data Engineers prepare for technical interviews with confidence.Instead of relying on endless lists of memorized questions and answers, this book teaches readers how to think through problems, explain technical decisions, troubleshoot real-world failures, design scalable data platforms, and handle interviewer follow-up questions.The book covers the core skills expected in modern Data Engineering interviews, including SQL, Python, data modeling, ETL/ELT, Apache Spark, PySpark, Airflow, CDC, cloud data engineering, Kafka, streaming, data quality, system design, reliability, security, and cost optimization.Readers also get hands-on SQL, Python, and PySpark challenges, real-world scenarios, system-design exercises, mock interviews, senior-level questions, behavioral interview guidance, cheat sheets, and a 30-day preparation plan.Whether you're preparing for your first Data Engineering interview or targeting a senior-level role, this book is designed to take you from learning concepts to applying them under interview pressure.

Seller Inventory # 9798192863275

Title
Data Engineering Interview Mastery : A Practical Guide to SQL, Python, Spark, Cloud, Streaming, System Design, and Real-World Interview Problems
Author
Rishu Raj
Publisher
Amazon Digital Services LLC - Kdp Aug 2026
Publication year
2026
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 13
9798192863275
Item weight
730 grams
Dimensions
229x152x28 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

Item5 to 7 business days7 to 10 business days
First itemUS$ 35.19US$ 35.19
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