Intetics is looking for a Data Engineer (ETL/ELT) to design, develop, and maintain scalable data pipelines that connect enterprise systems with Azure Data Lake, Azure SQL, Microsoft Fabric, and Power BI. Responsibilities include building and optimizing ETL/ELT pipelines using Azure Data Factory and Fabric Data Factory, integrating data from APIs, databases, and file-based sources, implementing data validation, logging, and monitoring, and supporting CI/CD for automated deployment. The role requires strong experience with Azure Data Factory and/or Microsoft Fabric Data Factory, hands-on expertise with Azure Data Lake and Azure SQL, advanced SQL, and proficiency in Python or another scripting language. Experience designing production ETL/ELT pipelines and integrating diverse data sources is essential. Nice-to-have items include Oracle or PeopleSoft integration, Spark/Databricks, Microsoft Fabric Notebooks, and handling sensitive enterprise data (HR, Finance, Payroll).

Intetics is looking for a Data Engineer (ETL/ELT) to design, develop, and maintain scalable data pipelines that connect enterprise systems with Azure Data Lake, Azure SQL, Microsoft Fabric, and Power BI. Responsibilities include building and optimizing ETL/ELT pipelines using Azure Data Factory and Fabric Data Factory, integrating data from APIs, databases, and file-based sources, implementing data validation, logging, and monitoring, and supporting CI/CD for automated deployment. The role requires strong experience with Azure Data Factory and/or Microsoft Fabric Data Factory, hands-on expertise with Azure Data Lake and Azure SQL, advanced SQL, and proficiency in Python or another scripting language. Experience designing production ETL/ELT pipelines and integrating diverse data sources is essential. Nice-to-have items include Oracle or PeopleSoft integration, Spark/Databricks, Microsoft Fabric Notebooks, and handling sensitive enterprise data (HR, Finance, Payroll).