Hybrid Data Engineer Specializing In Azure And Databricks Development

Transform data architecture as a Data Engineer with a focus on Azure and Databricks. Collaborate in a hybrid environment to support robust data-driven applications.In this dynamic role, you will partake in crafting data pipelines that enhance analytics and reporting capabilities. Working within a collaborative agile team, you'll utilize your Microsoft technology skills to build high-performing data lakes and warehouses, aligning with the organization's strategic goals. Tools include Azure Data Factory, Synapse Analytics, and Databricks.Key Responsibilities:Design effective data pipelines for processingBuild distinct data lake and warehouse systemsSupport analytics-driven applications for insightsCollaborate actively within an agile team settingImplementation of Microsoft technologies for data successRequirements:Strong background as a Data EngineerExpertise in Python, PySpark, and SparkSOLExperience with Azure Data Factory and AnalyticsUnderstanding of data quality and governanceKnowledgeable about data processing frameworksShape data capabilities to drive innovation and deliver compelling analytics solutions in this pivotal role.