Jobs → Data & Analytics → Azure Data Engineer

About the Role AZIST is looking for an experienced Azure Data Engineer to join their team, focusing on the Microsoft Azure Data & Analytics ecosystem. Key Responsibilities • Design and implement ETL/ELT pipelines using Azure Data Factory • Manage data storage solutions with ADLS Gen2, Azure Synapse Analytics, Azure SQL, and Cosmos DB • Develop data processing solutions using Azure Databricks, Delta Lake, and Delta Live Tables • Implement data warehousing solutions with Microsoft Fabric • Analyze data using Azure Data Explorer (KQL) and Power BI (DAX) • Lead technical teams and mentor engineers Requirements • 7–10 years of experience in Azure Data & Analytics • Strong expertise in Azure Data Factory, ETL/ELT pipelines, and orchestration • Hands-on experience with ADLS Gen2, Azure Synapse Analytics, Azure SQL, and Cosmos DB • Expertise in Azure Databricks, Delta Lake, Unity Catalog, and Delta Live Tables • Advanced proficiency in PySpark and Spark SQL • Experience with Microsoft Fabric – OneLake, Lakehouse, Warehouse, and Data Factory • Knowledge of Azure Data Explorer (KQL) and Power BI (DAX) • Strong understanding of Data Modelling and Data Warehousing • Experience with Azure DevOps, CI/CD pipelines, YAML, Git, and Infrastructure as Code (Terraform/Bicep) • Ability to lead technical teams, mentor engineers, and drive Agile/Scrum delivery • Exposure to Copilot Studio and Azure AI Foundry