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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.
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.
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.
It covers the topics below thoroughly:-
DBT Fundamentals:
Covers DBT architecture, core vs cloud, project setup, configurations, sources, models, materializations, macros, variables, hooks, documentation, exposures, and metrics.
Advanced Data Transformation:
Explores incremental models, SCD types, surrogate keys, deduplication, CDC, cleansing, standardization, dimensional modeling, schema design, Data Vault, and Medallion pipelines.
DBT Testing:
Focuses on generic, custom, and singular tests, source validation, data quality checks, freshness monitoring, and automated validation frameworks.
Performance Optimization:
Teaches incremental processing, partitioning, clustering, query tuning, model optimization, cost control, and dependency management.
CI/CD & DevOps:
Covers Git integration, GitHub, Azure DevOps, Bitbucket, deployment pipelines, environment promotion, and production release strategies.
DBT + Snowflake Integration:
Explains warehouse optimization, dynamic tables, streams, tasks, zero copy clone, time travel, secure views, row access, masking policies, and real time projects.
DBT Project:
Guides building a complete enterprise data warehouse with customer, sales, product, finance, inventory, and order analytics, plus dashboards, error handling, audits, and deployment.
Hands On Programs Part1:
Provides practice with production ready coding exercises including cleansing, null handling, deduplication, transformations, calculations, window functions, ranking, and aggregations.
Hands On Programs Part2:
Covers incremental models, snapshots, SCD Type 2, fact/dimension tables, surrogate keys, source validation, DBT tests, macros, Jinja, dependencies, audits, logging, and optimization.
Data Transformation Programs Part1:
Focuses on source to target mapping, pipeline creation, staging, cleansing, standardization, joins, lookups, aggregations, and derived columns.
Data Transformation Programs Part2:
Explores business rules, incremental loads, CDC, SCD types, surrogate keys, fact/dimension pipelines, validation, error handling, audits, reusable nodes, scheduling, deployment, and Snowflake integration.
Scenario Based & Architectural Thinking:
Covers real world scenario based questions and provides architecture level solutions using DBT.
Covers DBT architecture, core vs cloud, project setup, configurations, sources, models, materializations, macros, variables, hooks, documentation, exposures, and metrics.
Advanced Data Transformation:
Explores incremental models, SCD types, surrogate keys, deduplication, CDC, cleansing, standardization, dimensional modeling, schema design, Data Vault, and Medallion pipelines.
DBT Testing:
Focuses on generic, custom, and singular tests, source validation, data quality checks, freshness monitoring, and automated validation frameworks.
Performance Optimization:
Teaches incremental processing, partitioning, clustering, query tuning, model optimization, cost control, and dependency management.
CI/CD & DevOps:
Covers Git integration, GitHub, Azure DevOps, Bitbucket, deployment pipelines, environment promotion, and production release strategies.
DBT + Snowflake Integration:
Explains warehouse optimization, dynamic tables, streams, tasks, zero copy clone, time travel, secure views, row access, masking policies, and real time projects.
DBT Project:
Guides building a complete enterprise data warehouse with customer, sales, product, finance, inventory, and order analytics, plus dashboards, error handling, audits, and deployment.
Hands On Programs Part1:
Provides practice with production ready coding exercises including cleansing, null handling, deduplication, transformations, calculations, window functions, ranking, and aggregations.
Hands On Programs Part2:
Covers incremental models, snapshots, SCD Type 2, fact/dimension tables, surrogate keys, source validation, DBT tests, macros, Jinja, dependencies, audits, logging, and optimization.
Data Transformation Programs Part1:
Focuses on source to target mapping, pipeline creation, staging, cleansing, standardization, joins, lookups, aggregations, and derived columns.
Data Transformation Programs Part2:
Explores business rules, incremental loads, CDC, SCD types, surrogate keys, fact/dimension pipelines, validation, error handling, audits, reusable nodes, scheduling, deployment, and Snowflake integration.
Scenario Based & Architectural Thinking:
Covers real world scenario based questions and provides architecture level solutions using DBT.
Why this course helps
- •Practical lessons designed around real-world use cases
- •Structured learning flow with clear progression
- •Downloadable content available after successful purchase
Delivery
Instant unlock
Download appears in your dashboard after verification.
Checkout
India + International
Server-side order creation with gateway return verification.
Access
Protected files
Downloads stay private until your order reaches paid status.
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Common questions
Who is this course for?
This course is ideal for learners who want practical guidance in Snowflake + DBT with structured explanations and applied examples.
How do I access the course after purchase?
After a successful payment, the course becomes available in your dashboard and the downloadable content is unlocked for your account.
Is this course beginner friendly?
Advanced is presented with guided learning so you can follow the material at a practical pace.