Snowflake + DBT Training is designed to help you master the modern cloud data stack used by top global companies. This program covers everything from cloud data warehousing, SQL-based data modeling, automated transformations, and end-to-end ELT pipeline development.
You will learn how to build scalable data models, apply version control, automate workflows, and prepare analytics-ready datasets using Snowflake and DBT — the two most in-demand tools in Data Engineering and Analytics Engineering roles.
By the end of the course, you will be able to design cloud data architectures, optimize queries, build DBT models, deploy pipelines, and work confidently on real-time enterprise projects.
Snowflake + DBT are essential for modern cloud-based ELT workflows. These in-demand skills help you build scalable, automated, analytics-ready data pipelines for top companies.
This structured curriculum is designed to transform you into a job-ready Snowflake + DBT professional. You will learn everything from foundational concepts to advanced cloud data engineering skills through hands-on modules, real-time projects, and industry-level assignments.
Modern Data Stack Overview
ELT vs ETL Concepts
Snowflake & DBT Roles in Data Engineering
Snowflake Architecture
Virtual Warehouses
Databases, Schemas & Tables
Stages, File Formats, and Data Loading
Micro-partitioning basics
Snowflake SQL Essentials
Copy Commands & Data Loading
Streams, Tasks & Automation
Time Travel & Fail-safe
Clustering & Performance Tuning
What is DBT?
DBT Core vs DBT Cloud
Project Structure & Setup
DBT Models (View/Table/Ephemeral)
Sources & Seeds
Jinja Template & Macros
Testing (Singular & Generic Tests)
Documentation & DBT Docs
Snapshots
DBT Run, Build & Debug commands
Git & GitHub Integration
Pull Requests & Code Reviews
DBT Cloud Deployment
Scheduling Pipelines
Building ELT Pipeline
Loading Raw Data into Snowflake
Creating Staging + Intermediate + Mart Models
BI Dashboard using Snowflake Output
Final Project Presentation
Gain access to top cloud data engineering and analytics engineering career opportunities. Below are the average salary ranges for popular Snowflake & DBT job roles in India.
| Role | Salary Range |
|---|---|
| Snowflake Developer | ₹8 LPA – ₹20 LPA |
| Data Engineer | ₹10 LPA – ₹25 LPA |
| Analytics Engineer (DBT) | ₹12 LPA – ₹30 LPA |
| Cloud Data Engineer | ₹9 LPA – ₹22 LPA |
| Snowflake Administrator | ₹8 LPA – ₹18 LPA |
Only basic SQL knowledge is enough. Everything else will be taught from scratch.
Yes. Many freshers start their data engineering careers through Snowflake + DBT.
Yes, you will complete an end-to-end ELT pipeline project using Snowflake & DBT.
Yes, we guide you for Snowflake and DBT certifications.
Yes. Resume preparation, interview practice, and placement support are included.
Yes. If you can learn SQL, you can learn Snowflake + DBT.