Description
The Data Engineer will build, manage, and optimize data pipelines and data storage solutions, supporting data flow from source to destination. The role involves designing ETL workflows, automating data processing, implementing secure and scalable Azure, Databricks, data warehouse, and data lake solutions, performing data quality and performance monitoring, and troubleshooting pipeline and storage issues. It requires a bachelor’s degree in a relevant field and at least five years of data engineering experience, including hands-on Azure pipeline development and Databricks solution development.
