Description
The Senior Data Engineer will design and deliver scalable data solutions and reusable data products using Microsoft Azure and Databricks. Responsibilities include building and optimizing data pipelines, Lakehouse architectures, Azure SQL and Data Lake solutions, data models, data quality controls, monitoring, security, governance, and performance optimization, while collaborating with analytics, architecture, governance, security, and engineering teams. The role requires at least five years of relevant professional experience and proficiency with Azure Data Factory, Azure Databricks, Azure SQL, PySpark, Spark SQL, Delta Lake, Unity Catalog, Git, DevOps, and CI/CD.
