SNOWFLAKE DATA ENGINEER

About This Course

This comprehensive Snowflake course takes you from cloud data warehousing fundamentals to advanced data engineering. You'll master Snowflake architecture, SQL analytics, data loading & unloading, performance optimization, security, Streams & Tasks, Snowpipe, and multi-cloud deployment. Through 8+ real-world projects, you'll build production-grade data pipelines and become job-ready for top Snowflake Data Engineer roles.

Syllabus Overview

• Module 1: Introduction to Cloud Data Warehousing
  • Traditional vs Cloud Data Warehousing
  • What is Snowflake?
  • Snowflake vs Redshift vs BigQuery vs Synapse
  • Cloud Data Platform Architecture
  • Snowflake Editions (Standard, Enterprise, Business Critical)
  • Snowflake Pricing & Credits
  • Setting up Snowflake Account
  • Snowflake Web UI (Snowsight) & Classic Console
• Module 2: Snowflake Architecture
  • Shared-Disk vs Shared-Nothing Architecture
  • Snowflake's Hybrid Architecture
  • Cloud Services Layer
  • Query Processing Layer (Virtual Warehouses)
  • Storage Layer
  • Multi-Cluster Warehouses
  • Automatic Clustering
  • Query Caching (Result, Metadata, Data Cache)
  • Micro-partitions & Data Storage
  • Time Travel & Fail-Safe
  • Zero-Copy Cloning
• Module 3: Snowflake SQL & Data Types
  • Snowflake SQL Overview
  • Data Types (NUMBER, VARCHAR, VARIANT, ARRAY, OBJECT)
  • DDL Commands (CREATE, ALTER, DROP, TRUNCATE)
  • DML Commands (INSERT, UPDATE, DELETE, MERGE)
  • Working with Semi-Structured Data (JSON, Parquet, Avro)
  • FLATTEN Function for Nested Data
  • Lateral Joins
  • Window Functions (ROW_NUMBER, RANK, LAG, LEAD)
  • QUALIFY Clause
  • Common Table Expressions (CTEs)
  • PIVOT & UNPIVOT
  • Sample / TABLESAMPLE
• Module 4: Data Loading & Unloading
  • Bulk Loading with COPY INTO
  • External Stages (AWS S3, Azure Blob, GCS)
  • Internal Stages (User, Table, Named)
  • File Formats (CSV, JSON, Parquet, Avro, ORC, XML)
  • Data Validation & Error Handling
  • COPY Options (ON_ERROR, VALIDATION_MODE)
  • Snowpipe for Continuous Loading
  • Snowpipe REST API & Auto-Ingest
  • Data Unloading (COPY INTO Location)
  • Working with Large Datasets
  • Best Practices for Data Loading
• Module 5: Streams & Tasks (Change Data Capture)
  • Introduction to Change Data Capture (CDC)
  • Standard Streams
  • Append-Only Streams
  • Insert-Only Streams
  • Stream Offsets & Staleness
  • Introduction to Tasks
  • Creating & Scheduling Tasks
  • Task Dependencies (DAG of Tasks)
  • Serverless Tasks
  • Stream & Task Pipelines
  • Monitoring Streams & Tasks
  • Error Handling & Notifications
• Module 6: Stored Procedures & UDFs
  • Introduction to Stored Procedures
  • JavaScript Stored Procedures
  • Python Stored Procedures (Snowpark)
  • SQL Stored Procedures
  • User-Defined Functions (UDFs)
  • SQL UDFs vs JavaScript UDFs vs Python UDFs
  • User-Defined Table Functions (UDTFs)
  • External Functions
  • Error Handling in Procedures
  • Dynamic SQL
  • Best Practices & Performance Considerations
• Module 7: Performance Optimization
  • Understanding Query Profiles
  • Automatic Clustering
  • Manual Clustering & Cluster Keys
  • Search Optimization Service
  • Materialized Views
  • Result Caching Best Practices
  • Warehouse Sizing & Scaling
  • Multi-Cluster Warehouse Configuration
  • Query Performance Tuning
  • Spilling to Remote Storage
  • Pruning & Partition Elimination
  • Resource Monitors
  • Cost Optimization Strategies
• Module 8: Security & Access Control
  • Snowflake Security Overview
  • Role-Based Access Control (RBAC)
  • Creating & Managing Roles
  • User Management & Authentication
  • Multi-Factor Authentication (MFA)
  • SAML & SSO Integration
  • Network Policies
  • Column-Level Security (Dynamic Data Masking)
  • Row-Level Security (Row Access Policies)
  • Object Tagging & Classification
  • Data Encryption (Automatic & Customer-Managed Keys)
  • Auditing & Access History
  • Information Schema & Account Usage Views
• Module 9: Data Sharing & Marketplace
  • Secure Data Sharing Overview
  • Direct Share (Provider to Consumer)
  • Reader Accounts
  • Data Exchange
  • Snowflake Marketplace
  • Listing & Consuming Data Sets
  • Private Data Exchange
  • Database Replication
  • Cross-Cloud & Cross-Region Sharing
  • Data Clean Room Concepts
  • Monitoring & Managing Shares
• Module 10: Snowpark & Python Integration
  • Introduction to Snowpark
  • Snowpark Python SDK
  • Snowpark DataFrame API
  • Data Engineering with Snowpark
  • Creating Python UDFs & UDTFs
  • Python Stored Procedures
  • Machine Learning Integration
  • Working with External Libraries
  • Snowpark vs Traditional SQL Processing
  • Performance Considerations
  • Integration with Jupyter Notebooks
• Module 11: ETL/ELT Pipeline Orchestration
  • ETL vs ELT Patterns
  • Integrating with Apache Airflow
  • Integration with dbt (data build tool)
  • AWS Glue & Lambda Integration
  • Azure Data Factory Integration
  • Fivetran & Stitch Connectors
  • Kafka Integration for Streaming
  • Building End-to-End Data Pipelines
  • CI/CD for Data Pipelines
  • Monitoring & Alerting
  • Pipeline Error Handling & Retry Logic
• Module 12: Multi-Cloud & Migration Strategies
  • Snowflake on AWS
  • Snowflake on Azure
  • Snowflake on GCP
  • Cross-Cloud Replication
  • Migration from On-Premise to Snowflake
  • Migration from Teradata, Oracle, SQL Server
  • Migration from Redshift, BigQuery
  • Data Assessment & Schema Conversion
  • Cutover Strategies
  • Post-Migration Validation
  • Cost Analysis & Optimization
• Module 13: Capstone Projects & Certification Prep
  • Building Enterprise Data Warehouse on Snowflake
  • Real-Time CDC Pipeline with Streams & Tasks
  • Multi-Source Data Integration Project
  • Data Lake to Snowflake Migration
  • End-to-End Analytics Platform
  • SnowPro Core Certification Preparation
  • Mock Exams & Practice Questions
  • Interview Preparation
  • Resume Building & Portfolio Creation

Tools & Technologies Covered

Hands-On Projects

• Build Enterprise Data Warehouse on Snowflake from Scratch
• Real-Time CDC Pipeline using Snowpipe, Streams & Tasks
• E-Commerce Analytics Platform with Multi-Source Data Integration
• Migrate On-Premise SQL Server Database to Snowflake
• Data Lake to Snowflake ETL Pipeline with AWS S3 & Airflow
• Build dbt Models for Data Transformation in Snowflake
• Implement Row-Level & Column-Level Security for Healthcare Data
• Cross-Cloud Data Sharing Solution for Partner Analytics
• Performance Optimization Case Study (Query Tuning & Cost Reduction)
• Snowpark ML Pipeline for Customer Segmentation

Career Outcomes

• Snowflake Data Engineer₹8 – ₹18 LPA
• Cloud Data Architect₹12 – ₹25 LPA
• Senior ETL/ELT Developer₹7 – ₹15 LPA
• Data Platform Engineer₹10 – ₹20 LPA

Frequently Asked Questions

• Do I need prior data warehousing experience?

  Basic SQL knowledge is required. Prior data warehousing experience is helpful but not mandatory. The course covers fundamentals before moving to advanced Snowflake concepts.

• Does this course prepare for SnowPro Certification?

  Yes! The course covers all topics required for the SnowPro Core Certification. It includes dedicated certification preparation sessions, mock exams, and practice questions.

• Which cloud provider is used for Snowflake labs?

  We use Snowflake on AWS for all hands-on labs. You'll also learn about Snowflake deployments on Azure and GCP. A Snowflake free trial account ($400 credits) is used for practice.

• How is Snowflake different from traditional databases?

  Snowflake separates compute from storage, enabling independent scaling. It handles semi-structured data natively, offers automatic clustering, zero-copy cloning, time travel, and secure data sharing – features not available in traditional databases.