Databricks Data Engineer (Spark AND Unity)

Interview - Face to face Position Overview: Build and maintain scalable data pipelines using Azure Databricks to support DATA & AI ACDP projects. Apply 3-4 years of experience to deliver reliable ETL processes and collaborate on data-driven insights. Key Responsibilities: Design, build, and optimize data pipelines in Azure Databricks for ingestion, ETL/ELT, and transformations, implementing Medallion Architecture (Bronze, Silver, Gold) with Delta Lake for data quality and versioning.