Instructor Led Course : Data Engineering with Snowflake in Azure Cloud (60 hours )

This immersive 60-hour instructor-led program is designed for professionals aiming to build strong expertise in data engineering using Snowflake on Microsoft Azure Cloud. The course combines foundational knowledge, hands-on labs, and real-world projects to help participants design, implement, and optimize scalable cloud-based data pipelines.

Key Highlights:

• Introduction to Azure Cloud fundamentals for data workloads

• Snowflake architecture, setup, and cloud-native capabilities

• Data ingestion and integration techniques (batch & streaming)

• Building ETL/ELT pipelines using Snowflake with Azure services (Data Factory, Synapse, Databricks)

• Advanced SQL programming and performance tuning in Snowflake

• Secure data sharing, governance, and access control

• Best practices for cost optimization and workload management

• Capstone project simulating enterprise-level data engineering scenarios

Who Should Attend:

• Data Engineers, BI Developers, and ETL Specialists

• Cloud Engineers and Database Professionals transitioning to Snowflake

• Aspiring Data Architects seeking practical Azure-Snowflake expertise

Learning Outcomes:
By the end of the course, participants will be able to:

• Deploy and manage Snowflake environments on Azure

• Design and implement efficient data pipelines for structured and semi-structured data

• Apply advanced SQL, performance optimization, and security techniques

• Integrate Snowflake with Azure ecosystem tools for enterprise-scale solutions

• Confidently prepare for SnowPro Core and advanced data engineering certifications