Azure Data Engineer Trainer – Microsoft Azure

Job Title: Azure Data Engineer Trainer – Microsoft AzureJob Summary

We are looking for an experienced and skilled **Azure Data Engineer Trainer** to deliver high\-quality training to students, freshers, working professionals, and corporate teams. The ideal candidate should have strong hands\-on experience in Azure data engineering services, data pipelines, ETL/ELT processes, SQL, Python, and cloud\-based data solutions.

The trainer should be capable of explaining technical concepts through practical demonstrations, real\-time project scenarios, hands\-on labs, and industry\-oriented assignments.

Key Responsibilities

• Deliver comprehensive training on Microsoft Azure Data Engineering concepts and tools.
• Train participants on Azure Data Factory (ADF), including pipelines, datasets, linked services, triggers, and integration runtimes.
• Provide hands\-on training on Azure Databricks, Apache Spark, PySpark, and Spark SQL.
• Explain data ingestion, transformation, cleansing, and integration processes.
• Cover SQL, Python, data modeling, and ETL/ELT development.
• Train participants on Azure Data Lake Storage Gen2 and cloud\-based data storage solutions.
• Explain Microsoft Fabric and its data engineering capabilities, where relevant.
• Demonstrate data pipeline development, orchestration, monitoring, and troubleshooting.
• Cover Delta Lake, Lakehouse architecture, and data processing best practices.
• Explain batch processing, incremental data loading, and slowly changing dimensions (SCD).
• Introduce data warehousing concepts and Azure SQL\-based data solutions.
• Provide real\-time project scenarios, practical assignments, and hands\-on lab exercises.
• Prepare training materials, presentations, interview questions, and mock assessments.
• Guide trainees in project development, interview preparation, and career\-oriented learning.
• Keep the curriculum aligned with current Azure data engineering technologies and relevant certification objectives.

Required Skills and Qualifications

• Strong hands\-on experience with Microsoft Azure data engineering services.
• Good knowledge of Azure Data Factory (ADF) and pipeline development.
• Practical experience with Azure Databricks, PySpark, and Apache Spark.
• Strong understanding of SQL, Python, and data transformation techniques.
• Knowledge of Azure Data Lake Storage Gen2 and cloud data architecture.
• Understanding of ETL/ELT processes, data warehousing, and data modeling.
• Experience with Delta Lake, incremental data processing, and data pipeline optimization.
• Knowledge of data orchestration, monitoring, debugging, and performance tuning.
• Good communication, presentation, and mentoring skills.
• Ability to explain complex concepts in a simple and practical manner.

Preferred Qualifications

• Previous experience as an Azure Data Engineer, Senior Data Engineer, or Azure Data Engineering Trainer.
• Experience working on real\-time data engineering implementation and migration projects.
• Knowledge of Microsoft Fabric, CI/CD for data pipelines, Git, and deployment practices.
• Experience with enterprise data platforms and production data workflows.
• Microsoft Certified: Fabric Data Engineer Associate or other relevant Azure data certifications is an advantage.
• Experience delivering online training, classroom sessions, or corporate training.
• Ability to guide participants through end\-to\-end data engineering projects.

Job Details

• **Job Type:** Part\-time
• **Work Mode:** Online
• **Training Audience:** Freshers, working professionals, and corporate teams
• **Experience:** As per business requirements
• **Preferred Background:** Azure Data Engineering, Data Warehousing, ETL/ELT, and Cloud Data Platforms

Pay: ₹20,000\.00 \- ₹30,000\.00 per month

Work Location: Remote