Senior Azure Data Engineer

As a Data Engineer specializing in Azure, your role will involve data processing on Azure platforms such as Azure Data Factory, Streaming Analytics, Event Hubs, Azure Databricks, Data Migration Service, and Data Pipeline. Your responsibilities will include: - Demonstrating strong Azure skills, including provisioning, configuring, and developing solutions in Azure Data Lake (ADL), Azure Data Factory (ADF), and Azure Data Warehouse (ADW). - Possessing an in-depth understanding of database structure principles. - Having experience in DevOps tools such as Azure DevOps, Jenkins, Airflow, and Azure Monitor (good to have). - Utilizing hands-on experience with MS SQL Server, Oracle, or similar RDBMS platforms. - Implementing distributed data processing for big data batch or streaming pipelines using technologies like Kafka or similar. - Being familiar with data visualization tools like Power BI, Tableau, etc. - Demonstrating proficiency in data modeling, data structure, and strong analytics skills. - Displaying a problem-solving attitude. - Exhibiting high self-motivation, self-direction, and attention to detail. - Possessing the ability to effectively prioritize and execute tasks. Additional details about the company include a preference for a blend of skills, with Databricks and Spark being highly desirable. Some of the skills that are valued but not mandatory include: - Azure SQL Data Warehouse - Azure Data Factory - Azure Data Lake - Azure Analysis Services - Databricks/Spark - Python - Data Modeling Joining this team will provide you with the opportunity to work on cutting-edge technologies and contribute to impactful data projects. As a Data Engineer specializing in Azure, your role will involve data processing on Azure platforms such as Azure Data Factory, Streaming Analytics, Event Hubs, Azure Databricks, Data Migration Service, and Data Pipeline. Your responsibilities will include: - Demonstrating strong Azure skills, including provisioning, configuring, and developing solutions in Azure Data Lake (ADL), Azure Data Factory (ADF), and Azure Data Warehouse (ADW). - Possessing an in-depth understanding of database structure principles. - Having experience in DevOps tools such as Azure DevOps, Jenkins, Airflow, and Azure Monitor (good to have). - Utilizing hands-on experience with MS SQL Server, Oracle, or similar RDBMS platforms. - Implementing distributed data processing for big data batch or streaming pipelines using technologies like Kafka or similar. - Being familiar with data visualization tools like Power BI, Tableau, etc. - Demonstrating proficiency in data modeling, data structure, and strong analytics skills. - Displaying a problem-solving attitude. - Exhibiting high self-motivation, self-direction, and attention to detail. - Possessing the ability to effectively prioritize and execute tasks. Additional details about the company include a preference for a blend of skills, with Databricks and Spark being highly desirable. Some of the skills that are valued but not mandatory include: - Azure SQL Data Warehouse - Azure Data Factory - Azure Data Lake - Azure Analysis Services - Databricks/Spark - Python - Data Modeling Joining this team will provide you with the opportunity to work on cutting-edge technologies and contribute to impactful data projects.