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Data Engineering interview guide (2nd edition): 100+ Question Case Studies and Coding Challenges

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Sobre este producto

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
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

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Data Engineering interview guide (2nd edition): 100+ Question Case Studies and Coding Challenges

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