We are looking for an experienced Azure Data Engineer & Snowflake Trainer who can deliver practical, industry-oriented training to students and working professionals and provide placement assistance after training.

The ideal candidate should have solid hands-on experience with Microsoft Azure, Azure Data Engineering, Snowflake, SQL, ETL/ELT, and data warehousing, along with excellent communication and mentoring skills.

The trainer will be responsible not only for delivering technical training but also for helping candidates become job-ready through real-world projects, interview preparation, resume guidance, mock interviews, and placement support.

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

Placement Assistance Responsibilities

The trainer will also support the placement team by making candidates job-ready.

Responsibilities include:

- Conduct technical interview preparation sessions.
- Prepare candidates for Azure Data Engineer and Snowflake interviews.
- Conduct regular mock interviews.
- Provide resume and LinkedIn profile guidance.
- Help candidates explain their projects confidently during interviews.
- Conduct SQL and coding assessments.
- Provide interview questions and scenario-based problems.
- Guide candidates on real-world data engineering scenarios.
- Coordinate with the placement team regarding candidate readiness.
- Participate in technical screening/interview rounds when required.
- Provide feedback on candidates' technical performance.
- Help candidates improve their communication and technical presentation skills.
- Support candidates until they are ready to attend relevant job interviews.

Pay: ₹30,000.00 - ₹50,000.00 per month

Experience:

- azure data engineer: 5 years (Required)

Location:

- Remote (Preferred)

Work Location: Remote

📌 Azure Data Engineer & Snowflake Trainer (India)
🏢 Sv consulting services
📍 India