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DBT Data Engineer Interview Kit
The DBT Data Engineer Interview Kit is designed for professionals with 3-12+ years of experience who want to master real-world data transformation concepts, hands-on development, and scenario based interview questions used by top companies including Deloitte, Accenture, TCS, Capgemini, Cognizant, Infosys, EY, PwC, KPMG, HCL, Wipro, Amazon, Microsoft, and many more.<br><br>Unlike theoretical courses, this Interview Kit focuses on real production use cases, live project scenarios, and hands-on coding exercises that interviewers expect experienced Data Engineers to know.<div>It covers the topics below thoroughly:-</div><div>DBT Fundamentals:<br>Covers DBT architecture, core vs cloud, project setup, configurations, sources, models, materializations, macros, variables, hooks, documentation, exposures, and metrics.<br><br>Advanced Data Transformation:<br>Explores incremental models, SCD types, surrogate keys, deduplication, CDC, cleansing, standardization, dimensional modeling, schema design, Data Vault, and Medallion pipelines.<br><br>DBT Testing:<br>Focuses on generic, custom, and singular tests, source validation, data quality checks, freshness monitoring, and automated validation frameworks.<br><br>Performance Optimization:<br>Teaches incremental processing, partitioning, clustering, query tuning, model optimization, cost control, and dependency management.<br><br>CI/CD & DevOps:<br>Covers Git integration, GitHub, Azure DevOps, Bitbucket, deployment pipelines, environment promotion, and production release strategies.<br><br>DBT + Snowflake Integration:<br>Explains warehouse optimization, dynamic tables, streams, tasks, zero copy clone, time travel, secure views, row access, masking policies, and real time projects.<br><br>DBT Project:<br>Guides building a complete enterprise data warehouse with customer, sales, product, finance, inventory, and order analytics, plus dashboards, error handling, audits, and deployment.<br><br>Hands On Programs Part1:<br>Provides practice with production ready coding exercises including cleansing, null handling, deduplication, transformations, calculations, window functions, ranking, and aggregations.<br><br>Hands On Programs Part2:<br>Covers incremental models, snapshots, SCD Type 2, fact/dimension tables, surrogate keys, source validation, DBT tests, macros, Jinja, dependencies, audits, logging, and optimization.<br><br>Data Transformation Programs Part1:<br>Focuses on source to target mapping, pipeline creation, staging, cleansing, standardization, joins, lookups, aggregations, and derived columns.<br><br>Data Transformation Programs Part2:<br>Explores business rules, incremental loads, CDC, SCD types, surrogate keys, fact/dimension pipelines, validation, error handling, audits, reusable nodes, scheduling, deployment, and Snowflake integration.<br><br>Scenario Based & Architectural Thinking:<br>Covers real world scenario based questions and provides architecture level solutions using DBT.</div>