Reseña del libro "Data Engineering Interview (en Inglés)"
Master Data Engineering Interviews-from SQL and Python to Spark, Cloud, System Design, and Real-World Production Scenarios.Modern data engineering interviews go far beyond definitions. Candidates are expected to write SQL and Python, understand distributed systems, troubleshoot production pipelines, evaluate architectural trade-offs, and design scalable data platforms.Data Engineering Interview: Technical Questions, System Design, SQL, Python, Spark, Cloud, and Real-World Interview Scenarios provides a practical, comprehensive guide for preparing for modern data engineering roles-from foundational concepts to senior-level architecture discussions.Inside this book, you will learn how to: Master data engineering fundamentals, ETL/ELT, CDC, pipelines, and data modelingSolve SQL interview problems involving joins, CTEs, window functions, deduplication, ranking, and query optimizationPrepare for Python and PySpark coding interviewsUnderstand Apache Spark architecture, shuffles, partitions, joins, caching, and performance optimizationPrepare for Apache Kafka, streaming, and real-time data engineering questionsWork with data warehouses, data lakes, and lakehousesUnderstand Airflow, dbt, Databricks, Snowflake, Redshift, BigQuery, Delta Lake, Iceberg, and HudiPrepare for AWS, Azure, and Google Cloud data engineering interviewsDesign scalable batch, streaming, CDC, analytics, and lakehouse platformsTroubleshoot Spark failures, Kafka lag, schema changes, duplicate data, missed SLAs, and pipeline performance problemsAddress data quality, observability, reliability, security, governance, and compliancePrepare for senior-level architecture, scalability, technology-selection, cost-optimization, and leadership questionsA major focus of the book is Data Engineering System Design. You will work through realistic case studies involving e-commerce, clickstream analytics, financial transactions, IoT, log analytics, recommendation pipelines, Customer 360, CDC, petabyte-scale data lakes, and real-time analytics.The book also includes production interview scenarios and rapid-fire questions to help you practice explaining technical decisions clearly and confidently.Bonus Appendices Include: SQL Interview Cheat SheetPython Interview Cheat SheetSpark and PySpark Cheat SheetData Engineering System Design ChecklistCloud Data Engineering Service Mapping100 Essential Data Engineering Interview QuestionsWhether you are preparing for your first data engineering role or a senior-level interview, this book helps you develop the technical knowledge, system-design skills, and production problem-solving mindset expected in modern data engineering interviews.Build the knowledge. Practice the scenarios. Understand the trade-offs. Walk into your next data engineering interview prepared.
