Ultimate data engineering interview de moss amon (7 resultados)

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Taschenbuch. Condición: Neu. Neuware - The Data Science Interview Has Changed. Most Prep Books Haven't.In 2026, top companies don't just test algorithms. They test whether you can design production ML systems, reason about experiments at scale, write SQL that performs on billions of rows, work fluently with LLMs and agentic architectures, and communicate findings to people who don't share your technical background.This playbook was built around that reality - not the interview landscape of three years ago.What's Inside- 300+ real questions from FAANG, top startups, and Wall Street - with full answer frameworks- Resume and portfolio strategy for the age of AI screening- Statistics, probability, and A/B testing at the depth interviewers actually test- Machine learning and system design - algorithms, MLOps, production architecture, and model evaluation- Advanced SQL, Python, and data engineering - window functions, pipelines, feature stores, and cloud platforms- Generative AI and LLMs - RAG systems, agentic architectures, and LLM evaluation- Product thinking, metrics design, and case studies - the rounds most technical candidates fail- Senior and staff-level strategy - technical leadership, organizational influence, and salary negotiation Who This Is ForWhether you are breaking into data science, targeting a step up at a better company, or preparing for a FAANG loop - this book gives you the frameworks, mental models, and answer structures to handle any question the interview throws at you.'The only prep book I found that actually reflects how hiring has changed. The system design and LLM chapters alone are worth the price.''What separates this from every other book is that it teaches you how to think, not just what to say.'If you have a data science interview in the next 90 days, this is the book you need.…

Taschenbuch. Condición: Neu. Neuware.

Condición: New. Print on Demand.

Condición: New. Print on Demand.

Paperback. Condición: new. Paperback. The Data Engineering Interview Has Its Own Rules. Most Candidates Don't Know Them. SQL interviews at data science companies test statistics and product sense. Data engineering interviews test something different - whether you can design distributed pipelines that don't break, model data at a scale that makes analysts fast, reason about streaming versus batch trade-offs under pressure, and communicate architectural decisions to people who depend on the infrastructure you build. Most interview preparation resources treat data engineering as a chapter in a data science book. This playbook treats it as the discipline it actually is - with its own interview format, its own technical depth requirements, and its own career trajectory. What's Inside 200+ real questions from FAANG, top startups, and Wall Street - with full answer frameworks for every oneSQL at scale - window functions, query optimization, partitioning strategies, and petabyte-scale patterns that warehouse interviews actually testPython and PySpark - data transformation logic, Spark optimization, skew handling, and the production patterns interviewers probe at senior levelsETL and ELT pipeline design - idempotency, atomicity, CDC, late data handling, backfill strategies, and failure recoveryApache Kafka and stream processing - topics, partitions, delivery semantics, Flink versus Spark Structured Streaming, and real-time pipeline designWorkflow orchestration - Airflow DAG design, production failure modes, Prefect and Dagster comparedCloud platforms - BigQuery, Snowflake, Redshift, and Databricks at the optimization depth interviews requireData modeling - dimensional modeling, slowly changing dimensions, Data Vault, and schema design for analytical workloadsData quality and observability - data contracts, lineage, Great Expectations, dbt tests, and monitoring strategiesSystem design - the five-stage framework with three complete walkthroughs: real-time analytics platform, ML data infrastructure, and lakehouse migrationAI and ML integration - feature stores, embedding pipelines, RAG architecture, and vector databasesSenior and staff strategy - technical leadership, organizational influence, and salary negotiation Who This Is For This playbook is written for the analyst or data scientist transitioning into data engineering, the working data engineer targeting a step up at a better company, and the international candidate preparing for a FAANG data engineering loop - everyone who needs to translate genuine technical skill into interview-winning performance. "The only data engineering interview book I found that actually covers what 2026 interviews test. The system design walkthroughs alone are worth the price." "I used this to prep for my Databricks loop. The pipeline design and Kafka chapters are the most thorough treatment I've seen outside of internal documentation." Book 2 of The Complete Tech Interview Series. If you have a data engineering interview in the next 90 days - this is the book you need. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…