Azure Data Engineer Trainer

Location: Remote

Job Type: Part-Time

Experience: 1–3 Years

Job Summary

We are looking for a passionate Azure Data Engineer to build, optimize, and manage scalable data solutions on Microsoft Azure. The ideal candidate should have hands-on knowledge of Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage, SQL, Python, and PySpark. You will work with modern cloud technologies to design ETL/ELT pipelines, process large-scale data, and support business intelligence and analytics initiatives.

Roles & Responsibilities

• Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory (ADF).
• Build scalable data processing solutions using Azure Databricks and PySpark.
• Manage Azure Data Lake Storage (ADLS Gen2) for secure and efficient data storage.
• Develop data warehouse solutions using Azure Synapse Analytics.
• Write optimized SQL queries, stored procedures, and data transformations.
• Process structured and unstructured data from multiple data sources.
• Implement Delta Lake architecture for reliable and scalable data processing.
• Develop batch and real-time data pipelines using Azure Event Hubs and Stream Analytics.
• Monitor, troubleshoot, and optimize Azure data workflows.
• Implement data security, governance, and access control using Microsoft Purview, RBAC, and Azure Key Vault.
• Collaborate with Data Analysts, BI Developers, Data Scientists, and DevOps teams.
• Participate in code reviews, testing,…

Skills

• Azure
• SQL
• Python
• Git
• CI/CD