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DBT Interview Mastery: Part 2: Advanced Topics, Data Quality, Production Troubleshooting & Interview Mastery
The Complete dbt Interview Preparation Guide — Advanced Patterns, Real Projects, 100 Q&Asdbt Interview Mastery Volume 2 takes you from production-competent to interview-ready for senior analytics engineering roles. This is the advanced volume — dimensional modelling, data quality engineering, CI/CD pipelines, enterprise deployment, and the most comprehensive interview preparation resource available for dbt practitioners.
Written by a senior analytics engineer with production experience across Snowflake, BigQuery, Databricks, and Redshift — every pattern, every code example, and every interview answer comes from real-world practice, not theory.
What You Will Learn?Dimensional modelling with star schema, SCD Types 1, 2, and 3, date dimensions, junk and role-playing dimensionsThe complete dbt testing generic tests, singular tests, custom generics, dbt-utils, dbt-expectations, and Elementary for anomaly detectionData quality six quality dimensions, data contracts, quality scoring, revenue reconciliation testsProduction diagnosing SQL errors, incremental model failures, performance bottlenecks, and recovery strategiesDocumentation, data lineage, impact analysis, PII governance, and dbt Mesh cross-project lineageComplete CI/CD with GitHub PR validation, production deployment, scheduled runs, Slim CI with environments, jobs, scheduling, Slim CI, Metadata API, and the dbt Cloud IDEEnterprise blue-green deployments, monitoring, rollback strategies, and cost optimisationThree Real-World ProjectsComplete end-to-end dbt projects built chapter by chapter for e-commerce (Shopify + Stripe + Mixpanel on Snowflake), banking (regulatory reporting, FCA compliance, GL reconciliation, Basel III credit risk), and healthcare (NHS patient analytics, GDPR pseudonymisation, RTT waiting times, CQC compliance).
100 Interview Questions and Four Mock SessionsThe most comprehensive dbt interview preparation resource 100 Q&As across three tiers (beginner, intermediate, advanced), 18 scenario-based questions covering production incidents, system design, performance optimisation, and data quality crises, 18 senior-level questions on architecture leadership, team building, and governance, and four complete mock interview sessions (recruiter screen, technical round, managerial round, architecture round) with model answers and coaching tips.
Who This Book Is For?Mid-level and senior data engineers, analytics engineers, ETL developers, and BI developers preparing for dbt interviews. Anyone building production dbt projects at scale. Teams implementing CI/CD, data quality frameworks, or enterprise governance for dbt.
Pair with Volume 1 (Foundations to Production) for complete coverage from dbt installation through enterprise deployment.
Written by a senior analytics engineer with production experience across Snowflake, BigQuery, Databricks, and Redshift — every pattern, every code example, and every interview answer comes from real-world practice, not theory.
What You Will Learn?Dimensional modelling with star schema, SCD Types 1, 2, and 3, date dimensions, junk and role-playing dimensionsThe complete dbt testing generic tests, singular tests, custom generics, dbt-utils, dbt-expectations, and Elementary for anomaly detectionData quality six quality dimensions, data contracts, quality scoring, revenue reconciliation testsProduction diagnosing SQL errors, incremental model failures, performance bottlenecks, and recovery strategiesDocumentation, data lineage, impact analysis, PII governance, and dbt Mesh cross-project lineageComplete CI/CD with GitHub PR validation, production deployment, scheduled runs, Slim CI with environments, jobs, scheduling, Slim CI, Metadata API, and the dbt Cloud IDEEnterprise blue-green deployments, monitoring, rollback strategies, and cost optimisationThree Real-World ProjectsComplete end-to-end dbt projects built chapter by chapter for e-commerce (Shopify + Stripe + Mixpanel on Snowflake), banking (regulatory reporting, FCA compliance, GL reconciliation, Basel III credit risk), and healthcare (NHS patient analytics, GDPR pseudonymisation, RTT waiting times, CQC compliance).
100 Interview Questions and Four Mock SessionsThe most comprehensive dbt interview preparation resource 100 Q&As across three tiers (beginner, intermediate, advanced), 18 scenario-based questions covering production incidents, system design, performance optimisation, and data quality crises, 18 senior-level questions on architecture leadership, team building, and governance, and four complete mock interview sessions (recruiter screen, technical round, managerial round, architecture round) with model answers and coaching tips.
Who This Book Is For?Mid-level and senior data engineers, analytics engineers, ETL developers, and BI developers preparing for dbt interviews. Anyone building production dbt projects at scale. Teams implementing CI/CD, data quality frameworks, or enterprise governance for dbt.
Pair with Volume 1 (Foundations to Production) for complete coverage from dbt installation through enterprise deployment.
315 pages, Paperback
Published June 25, 2026
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