Job Description
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 Analy...
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 Analy...