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.
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.