• ISBN13: 9798288009150
• Binding: Paperback
• Subject: Computer Science and Information Technology
• Publisher: Independently Published
• Publisher Imprint: Independently Published
• Publication Date: June 13, 2025
• Pages: 166
• Original Price: GBP 14.67
• Language: English
• Edition: N/A
• Item Weight: 300 grams
• BISAC Subject(s): Careers / General

Data engineering is at the heart of modern analytics and machine learning. With the rise of real-time data pipelines, Lakehouse architecture, and cloud-native tooling like Apache Spark, Delta Lake, dbt, and Snowflake, companies are rapidly evolving how they store, process, and deliver data. This shift has redefined what's expected in interviews-from hands-on pipeline design and Python coding to SQL tuning, stream processing, and architecture design.

This second edition is written by a professional data engineering specialist and technical author, combining deep industry knowledge with firsthand insight into the interview processes of top-tier companies like Databricks, Netflix, Airbnb, Snowflake, Stripe, and Meta. It's designed not just to review concepts-but to help you crack the interview and land the job.

• 100+ real interview questions from modern data teams

• Detailed solutions with Python, SQL, Spark, dbt, and DuckDB

• Streaming vs batch pipeline trade-offs with case studies

• ETL/ELT architecture with Delta Lake, Apache Iceberg, and Hudi

• Performance tuning for Spark, SQL, and cloud infrastructure

• Monitoring, observability & security essentials

• Mock interview blueprints & salary negotiation tips

• Appendices: Glossary, resume templates, cheat sheets, and more

This book is ideal for:

• Data engineers preparing for high-stakes interviews

• Software engineers transitioning into data roles

• Bootcamp graduates and self-taught developers

• Experienced professionals aiming for FAANG, startups, or data-focused scaleups

You don't need to be an expert in every tool-but this guide will help you talk like one and solve problems like a pro.

Whether you're 1 week away from a phone screen or 3 months into a career switch, this guide adapts to your timeline. Use it for deep practice, last-minute review, or daily drills to build confidence fast.

Master the tools. Crack the code. Get the offer.
If you're serious about succeeding in modern data engineering interviews-this is the one book you can't afford to skip.