Job description

Job Description Azure Data Engineer is a highly skilled professional responsible for designing, building, and maintaining fault-tolerant and scalable data processing integrations using Azure. The ideal candidate will have extensive experience in working with Azure Data Factory or Synapse Analytics, as well as Databricks & Apache Spark. Strong problem-solving skills with emphasis on optimizing data pipelines are essential for this role. Excellent written and verbal communication skills are necessary for coordinating across teams, while a drive to learn and master new technologies and techniques is also required. In addition, the successful candidate will have experience in DevOps and Agile environments, using CI/CD pipelines, and be familiar with cloud infrastructures and multi-cloud environments such as Azure, AWS, IBM Cloud. Experience in architecting transactional-based data platforms and real-time/event streaming data platforms (IoT) is highly desirable. • Build and maintain fault-tolerant and scalable data processing integrations using Azure. • Work with Azure Data Factory or Synapse Analytics, Databricks & Apache Spark. • Optimize data pipelines and resolve complex problems. • Communicate effectively across teams. • Stay up-to-date with new technologies and techniques. • Work in DevOps and Agile environments. • Be familiar with cloud infrastructures and multi-cloud environments. Requirements • 5+ years of experience in building/maintaining fault-tolerant and scalable data processing integrations. • Extensive experience in Azure Data Factory or Synapse Analytics, Databricks & Apache Spark. • Strong problem-solving skills with emphasis on optimization data pipelines. • Excellent written and verbal communication skills. • Drive to learn and master new technologies and techniques. • Experience in DevOps and Agile environments. • Familiarity with cloud infrastructures and multi-cloud environments.

Requirements