Requirement for Online Corporate Trainer: Azure Data Engineering Course

Position: Online Corporate Trainer for Azure Data Engineering

Course Overview:
We are seeking an experienced and certified Azure Data Engineering Trainer to deliver an online training course tailored for corporate teams. The course will cover the essential aspects of Azure Data Engineering, including data storage, processing, integration, and analytics. The trainer will be responsible for providing hands-on experience with Azure services and customizing the course content to align with the specific requirements of the organization.

Key Responsibilities:
- Deliver live, interactive online training sessions focused on Azure Data Engineering.
- Customize course materials, including presentations, labs, and project work, to meet the needs of the corporate team.
- Provide practical, real-world examples and case studies to reinforce learning.
- Guide participants in implementing Azure data engineering solutions within their work environment.
- Conduct assessments, quizzes, and provide detailed feedback on participants' progress.
- Offer continuous support and mentorship to participants throughout the course duration.

Course Content:

1. Introduction to Azure Data Engineering:
- Overview of data engineering concepts and the Azure platform.
- Key Azure services for data engineering: Azure Data Lake, Azure Synapse Analytics, and Azure Data Factory.
- Understanding Azure's role in big data, IoT, and AI.

2. Azure Data Storage Solutions:
- Deep dive into Azure Data Lake Storage.
- Managing and optimizing data storage.
- Data partitioning, encryption, and lifecycle management.

3. Data Integration with Azure Data Factory:
- Introduction to Azure Data Factory and its components.
- Designing and implementing ETL (Extract, Transform, Load) pipelines.
- Data ingestion from on-premise and cloud sources.

4. Data Processing with Azure Synapse Analytics:
- Introduction to Azure Synapse Analytics (formerly SQL Data Warehouse).
- Working with big data and real-time data processing.
- Integrating Apache Spark and Synapse for scalable analytics.

5. Data Transformation and Cleansing:
- Using Azure Data Factory and Databricks for data transformation.
- Data cleansing and validation techniques.
- Managing data quality and consistency.

6. Advanced Analytics with Azure:
- Implementing machine learning models with Azure Machine Learning.
- Utilizing Azure AI services for predictive analytics.
- Data visualization with Power BI.

7. Security and Compliance in Azure Data Engineering:
- Best practices for securing data in Azure.
- Managing access and identity with Azure Active Directory.
- Ensuring compliance with industry standards and regulations.

8. Monitoring and Optimization:
- Monitoring data pipelines and workloads in Azure.
- Performance tuning and cost optimization strategies.
- Using Azure Monitor and Log Analytics for tracking and alerting.

9. Real-World Case Studies and Projects:
- Analyzing real-world Azure Data Engineering implementations.
- Hands-on project simulating a complete Azure data engineering solution.
- Documentation and presentation of the project.

Qualifications:
- Microsoft Certified: Azure Data Engineer Associate or equivalent certification.
- 5+ years of experience in data engineering, with a focus on Azure.
- Proven experience in corporate training or mentoring in data engineering.
- Strong understanding of cloud architecture, data processing, and analytics.
- Excellent communication, presentation, and interpersonal skills.
- Ability to tailor content to meet specific corporate needs.

How to Apply:
Interested candidates should submit their resume, Azure certification details, a brief cover letter, and relevant corporate training experience