Data Engineer – Google Vertex AI

#Data_Engineer –Google Vertex AI Location: Washington, DC (Onsite) Experience Level: 10+ Years/ Only #H1b Industry: Global Finance / Intergovernmental Organisation Client is looking for someone to move data; they want who can navigate a Multi-Cloud/Hybrid environment. The Azure-to-GCP Bridge: You are expected to ingest data from on-premise/Azure sources (using #ADF) and move it into a #Databricks #Lakehouse, but the "Destination" is increasingly Google Vertex AI for advanced analytics. #Azure_Data_Factory (ADF): Requirement: Not just building pipelines, but building Metadata-driven Frameworks. #Databricks (The Processing Engine): Requirement: Mastery of the #Medallion_Architecture (Bronze → Silver → Gold). #DBT (Data Build Tool): Requirement: Standardizing the transformation layer. #Python: Requirement: Deep #PySpark expertise. Preferred Certifications Azure Data Engineer Associate (DP-203) Databricks Certified Data Engineer Professional Google Professional Data Engineer Please share your resume at [Upgrade to PRO to see contact]  #DataEngineering #Azure #Databricks #dbt #Python #VertexAI #MLOps #DataArchitecture #DCJobs #CloudEngineering