Transform data architecture as a Data Engineer with a focus on Azure and Databricks. Collaborate in a hybrid workplace 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.

📌 Hybrid Data Engineer Specializing in Azure and Databricks Development (Oshawa)
🏢 2iSolutions
📍 Oshawa