Transform data architecture as a Data Engineer with a focus on Azure and Databricks. Collaborate in a hybrid setting to support robust data-driven applications. In this energetic role, you will partake in crafting data pipelines that enhance analytics and reporting capabilities.

Working within a cooperative 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.

📌 Hybrid Data Engineer Specializing In Azure And Databricks Development Oshawa
🏢 2iSolutions
📍 Oshawa