Master Snowflake Data Engineering with Real-Time Projects (Snowpark & DBT)

Join NVNS Software Solutions and become a job-ready data engineer by mastering Snowflake, SQL, AWS, Snowpark, and DBT with real-time project implementation designed for faster job placement.

  • Real-Time Project Implementation (End-to-End)
  • Complete Snowflake + Snowpark + DBT Training
  • Certification & Placement Support
  • Beginner to Advanced Level
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Why Choose NVNS Software Solutions Snowflake Training?

Most courses focus only on theory. Our training focuses on practical, real-time project implementation, which is critical for getting hired.

You will:

  • Work on real-world business use cases
  • Build end-to-end data pipelines
  • Gain hands-on experience with Snowflake, Snowpark & DBT
  • Become job-ready with practical skills

👉 Our goal is simple: help you get placed faster with real skills

What You Will Learn

  • Snowflake Fundamentals & Architecture
  • SQL for Data Engineering
  • AWS Integration with Snowflake
  • Advanced Snowflake Concepts
  • Snowpark for Data Processing
  • DBT for Data Transformation
  • ⭐ Real-Time Data Engineering Project Implementation

Real-Time Project Implementation at NVNS Software Solutions

What You Will Build:

  • Real-world business data pipelines
  • Complete flow:
     Data Ingestion → Transformation → Analytics
  • Integration using:
     Snowflake + Snowpark + DBT
  • Performance optimization techniques

🎯 Outcome:

👉 Gain real project experience
 👉 Showcase projects in interviews
 👉 Get hired faster

Master Snowflake + DBT Curriculum

Module 1: Snowflake + DBT Introduction

  • Snowflake with DBT Introduction
  • Snowflake with DBT Syllabus Overview
  • Snowflake Demo
  • DBT Demo

Module 2: Snowflake Fundamentals

  • Snowflake Introduction
  • Data Warehousing Introduction
  • Snowflake Architecture
  • Snowflake Editions

🔧 Setup & Environment

  • How to Create Free Snowflake Account
  • How to Sign In & Overview of Snowflake Web UI
  • How to Connect Snowflake
  • Connect Snowflake with Different Clients

🗄️ Database & Tables

  • Creating Database, Schema, Tables

⚙️ Tools Setup

  • SnowSQL Installation & Configuration (Windows)
  • Create Connection with Snowflake

Module 3: SQL for Snowflake

📌 SQL Basics

  • What is SQL

  • SQL Language Types: DDL, DML, DCL, TCL

🛠️ SQL Commands

  • DDL (Data Definition Language)

  • Creating Databases, Schema, Tables

  • Insert Data into Tables

  • DML (Data Manipulation Language)

  • DQL (Data Retrieval Language)

  • TCL (Transaction Control Language)

  • DCL (Data Control Language)

🔍 Querying

  • Filtering & Sorting Commands

Module 4: AWS Fundamentals for Snowflake

  • What is AWS & History

  • AWS Account Creation (Step-by-Step)

  • AWS Free Tier Usage

  • AWS Global Infrastructure

☁️ AWS Services

  • EC2: Create Instance & Launch Snowflake

  • SnowSQL Setup on Linux (AWS)

  • AWS S3 (Storage)

  • AWS IAM (Access Management)

Module 5: Master Snowflake (Advanced Concepts)

⚡ Compute & Pricing

  • Virtual Warehouses (Create, Start, Stop, Resume, Suspend, Drop)
  • Virtual Warehouse Pricing
  • Snowflake Storage Pricing

🧠 Advanced Features

  • Time Travel & FailSafe (with Examples)
  • Types of Tables in Snowflake

📦 Data Loading & Stages

  • Stages Introduction
  • Internal Stages (with Examples)
  • External Stages (with Examples)
  • Snowpipe (with Examples)

🔄 Data Management

  • Snowflake Cloning & Zero-Copy Cloning
  • Snowflake Views

⚙️ Programming

  • Stored Procedures (with Examples)
  • User Defined Functions (UDFs)

🔐 Administration

  • User Management
  • Resource Monitoring
  • Query Profiling

Module 6: Snowflake Real-Time Project

  • Real-World Business Use Case
  • End-to-End Data Flow Implementation
  • Performance Tuning
  • Documentation

Module 7: Master Snowpark

📌 Introduction

  • Snowpark Overview
  • Snowpark Architecture
  • Key Features

⚙️ Setup

  • Setting up Snowpark
  • Creating Snowpark Sessions (Spark/Snowpark Setup)

🔄 Data Processing

  • Data Handling Techniques
  • Transformations using Snowpark DataFrames
  • Structured & Semi-Structured Data Processing

⚡ Performance

  • Optimization Strategies
  • Efficient Transformation Execution
  • Leveraging Snowflake Compute

🔗 Integration

  • Integration with Snowflake Core Services
  • Integration with External Tools

 Projects

  • Real-Time Snowpark Projects
  • End-to-End Data Engineering Workflows

Module 8: Master DBT (Data Build Tool)

📌 DBT Introduction

  • What is DBT
  • Why DBT
  • Advantages of DBT
  • Pre-Requisites

☁️ DBT Cloud Setup

  • DBT Cloud Introduction
  • Snowflake Free Account Creation
  • DBT Free Cloud Account Creation
  • Connect DBT Cloud with Snowflake
  • Create DBT Project & Run Default Models

💻 DBT Core Setup (VSCode)

  • DBT Core Introduction
  • Python Installation
  • VSCode Installation
  • DBT Core Installation
  • Create DBT Project & Run Models

🧱 DBT Models

  • What are DBT Models
  • Write First DBT Models
  • Run DBT Models
  • View vs Table in DBT
  • Create Tables in Snowflake & Models in DBT
  • Access Different Schemas & Create Models
  • Combined Models / Joins
  • Custom Schema & Data Transformation

🧩 Jinja in DBT

  • Jinja Basics
  • Materialization using Jinja
  • Examples

🔁 DBT Advanced Features

Macros

  • What are DBT Macros
  • Writing Macros
  • Examples

Snapshots

  • What are DBT Snapshots
  • Writing Snapshots
  • Examples

Hooks

  • What are DBT Hooks
  • Writing Hooks
  • Examples

Tests

  • What are DBT Tests
  • Writing Test Cases
  • Examples

Module 9: Snowflake + DBT Real-Time Project

  • Identify & Collect Source Data
  • Create Snowflake Database (Raw, Staging, Analytics)
  • Configure DBT Project & Connection
  • Load Raw Data into Snowflake

🔄 Data Transformation Pipeline

  • Create Staging Models
  • Build Transformation Models
  • Create Analytics Models

✅ Quality & Automation

  • Define Sources
  • Add DBT Tests
  • Run & Validate Pipeline
  • Automate using DBT Cloud / CI-CD

Pre-Requisites

  • Basic Knowledge of Computers
  • Basic Knowledge of SQL
  • Basic Knowledge of Any Cloud

Who Should Join This Program?

  • 👨‍🎓 Beginners & Fresh Graduates
  • 📊 Data Analysts & BI Professionals
  • 💻 SQL Developers
  • 🔄 ETL Developers
  • ☁️ Cloud & IT Professionals

👉 Ideal for anyone looking to build a career in Snowflake Data Engineering

Certification & Career Support

  • 🎓 Snowflake Certification Guidance
  • 📄 Resume Building with Project Experience
  • 🎯 Mock Interviews
  • 💼 Placement Assistance

👉 Focused on making you job-ready with real-time project experience

Frequently Asked Questions

Q1. What is Snowflake training?

Snowflake training teaches cloud data warehousing, SQL, and data engineering concepts using the Snowflake platform along with tools like Snowpark and DBT.

Yes, this course includes real-time project implementation where you will build end-to-end data pipelines using Snowflake, Snowpark, and DBT.

The course focuses on practical skills, real-time projects, and interview preparation, helping you become job-ready.

Snowpark is a developer framework in Snowflake used for data processing and transformations, making it essential for modern data engineering workflows.

Yes, we provide resume building, mock interviews, and placement support to help you prepare for job opportunities.

Q2. Is this Snowflake course suitable for beginners?

Yes, this course starts from fundamentals and gradually covers advanced topics, making it suitable for beginners and professionals.

This course covers Snowflake, SQL, AWS, Snowpark, and DBT, which are widely used in data engineering.

Yes, we provide guidance for Snowflake certification, including important topics and preparation strategy.

DBT (Data Build Tool) is used to transform and manage data pipelines inside Snowflake, widely used in analytics engineering.

NVNS Software Solutions provides training support for learners across locations, including classroom access for students who prefer in-person learning.

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