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 processing • Build distinct data lake and warehouse systems • Support analytics-driven applications for insights • Collaborate actively within an agile team setting • Implementation of Microsoft technologies for data success Requirements: • Strong background as a Data Engineer • Expertise in Python, PySpark, and SparkSOL • Experience with Azure Data Factory and Analytics • Understanding of data quality and governance • Knowledgeable about data processing frameworks Shape data capabilities to drive innovation and deliver compelling analytics solutions in this pivotal role.