The Azure Data Engineer will design, implement, and manage robust data solutions to meet business needs. This includes overseeing data pipelines, Azure data platform services, and delivering actionable insights through Power BI dashboards and reports. The role is based on-site in Dubai, United Arab Emirates, and requires transforming raw data into valuable insights, ensuring data accuracy, and supporting enterprise business intelligence initiatives. Responsibilities: - Azure data platform management: design, implement, and manage Azure SQL databases, Azure Data Lake Storage, and related Azure services, including Fabric. - ETL processes and data pipelines: create, monitor, and optimize ETL workflows to integrate data from multiple sources into centralized systems, ensuring reliability and performance. - SQL and Python development: use SQL for querying and managing relational databases; develop Python scripts to automate data processes, integrate data sources, and support advanced analytics. - Big data and analytics: leverage Azure Databricks for big data processing, analytics, and ML workflows; utilize Apache Spark and Hadoop for processing large datasets. - Data warehousing: develop and maintain enterprise data warehouses to support analytics and reporting; ensure integration with visualization tools. - Data security and compliance: implement robust data security measures, maintain compliance with organizational and regulatory standards, and support disaster recovery processes. - Collaboration and documentation: collaborate with cross-functional teams to gather requirements

The Azure Data Engineer will design, implement, and manage robust data solutions to meet business needs. This includes overseeing data pipelines, Azure data platform services, and delivering actionable insights through Power BI dashboards and reports. The role is based on-site in Dubai, United Arab Emirates, and requires transforming raw data into valuable insights, ensuring data accuracy, and supporting enterprise business intelligence initiatives. Responsibilities: - Azure data platform management: design, implement, and manage Azure SQL databases, Azure Data Lake Storage, and related Azure services, including Fabric. - ETL processes and data pipelines: create, monitor, and optimize ETL workflows to integrate data from multiple sources into centralized systems, ensuring reliability and performance. - SQL and Python development: use SQL for querying and managing relational databases; develop Python scripts to automate data processes, integrate data sources, and support advanced analytics. - Big data and analytics: leverage Azure Databricks for big data processing, analytics, and ML workflows; utilize Apache Spark and Hadoop for processing large datasets. - Data warehousing: develop and maintain enterprise data warehouses to support analytics and reporting; ensure integration with visualization tools. - Data security and compliance: implement robust data security measures, maintain compliance with organizational and regulatory standards, and support disaster recovery processes. - Collaboration and documentation: collaborate with cross-functional teams to gather requirements