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.
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