We are looking for an experienced Azure Data Engineer & Snowflake Trainer who can deliver practical, industry-oriented training to students and working specialists and provide placement assistance after training.
Key ResponsibilitiesTraining & Technical Responsibilities
Conduct instructor-led training on Azure Data Engineering and Snowflake.
Deliver both theoretical and practical, project-based training.
Explain concepts using real-world industry examples and use cases.
Create and maintain structured training modules, presentations, assignments, and practical exercises.
Provide hands-on sessions using Azure and Snowflake environments.
Conduct coding exercises, assessments, tests, and technical evaluations.
Guide students through end-to-end data engineering projects.
Troubleshoot students' technical issues and provide individual mentoring.
Keep training content updated according to current industry requirements.
Azure Data Engineering Topics
The trainer should be comfortable teaching:
Microsoft Azure fundamentals
Azure Data Factory (ADF)
Azure Data Lake Storage (ADLS)
Azure Synapse Analytics
Azure Databricks
Azure SQL Database
Azure Storage
ETL / ELT pipelines
Data ingestion and transformation
Batch processing
Data integration
Data warehousing concepts
Performance optimization
Monitoring and troubleshooting
Security and access management
Azure-based end-to-end data engineering projects
Snowflake Training
Snowflake architecture and fundamentals
Databases, schemas, tables, views, and stages
Snowflake SQL
Data loading and unloading
Internal and external stages
Snowpipe
Streams and Tasks
Time Travel
Zero-Copy Cloning
Data sharing
Warehouses and resource management
Performance optimization
Security and role management
ETL/ELT integration with Azure
Real-time and batch data pipelines
End-to-end Snowflake projects