Snowflake and DBT Data Engineering Roadmap: 12-Week Guide

Are you ready to elevate your data engineering career by mastering the most powerful tools in the modern data stack? This session provides a detailed roadmap for mastering Snowflake and DBT over an intensive training period, covering everything from basic data loading to advanced AI integrations.

In this video, we explore the core features of Snowflake, the transformation power of DBT, and how to leverage Snow Park for Python based projects. We also discuss critical integrations with AWS and Azure, ensuring you can build robust, end to end data pipelines. Beyond the technical skills, we dive into the current job market trends, salary benchmarks, and how to optimize your professional profile to land high paying roles. You will learn the differences between Snow Park and PySpark, how to use Cortex for AI analytical features, and the best practices for orchestrating workflows with Apache Airflow.

Key highlights from this session include:
🚀 Snowflake architecture and inbuilt features
🛠️ DBT for low code data transformation
🐍 Snow Park vs PySpark for AI and ML workloads
☁️ AWS Glue and Azure Data Factory integration
📈 Career guidance and placement strategies
🤖 Implementing Snowflake Cortex for AI

Chapters:
0:00 Intro to Snowflake and DBT Roadmap
3:15 Core Features and Data Loading Basics
7:40 Advanced SQL and Stored Procedures
11:20 Snow Park and Python Functionality
15:50 Project Based Learning and Assignments
20:10 Snowflake AI Features and Cortex Overview
24:30 Integrating AWS Services and S3 Storage
29:15 Data Bricks Integration and Delta Tables
33:50 Apache Airflow for Pipeline Orchestration
38:10 Snowflake vs Data Bricks Comparison
43:00 Data Extraction Strategies and ADF
47:45 Deep Dive into DBT Transformations
52:15 Managing Infrastructure Costs and Credits
57:00 Job Market Analysis for Data Engineers
1:02:30 Resume Building and LinkedIn Optimization
1:07:15 Interview Strategies and Notice Periods
1:12:00 Career Support and Placement Services
1:15:50 Final Q&A and Video Conclusion

If you found this guide helpful, make sure to like the video and subscribe for more data engineering insights. Leave a comment below if you have questions about the Snowflake ecosystem or career transitions!

#snowflake #dataengineering #dbt #snowpark #cloudcomputing

Видео Snowflake and DBT Data Engineering Roadmap: 12-Week Guide канала KSR Datavizon