GCP Data Engineer with Agentic AI

Overview:Senior GCP Data Engineering (Core Stack)Must-Have Services: Strong hands-on experience with BigQuery, Cloud Dataflow (PySpark/Beam), Cloud Composer (Airflow), and GCP Pub/Sub.Engineering Skills: Expert-level Python, MCP Server Development, and CI/CD data pipelines.Agentic AI & LLM OrchestrationFrameworks & Ecosystem: Practical experience with Vertex AI, Gemini models, and agentic orchestration frameworks (e.g., Google ADK).Protocols & Integrations: Direct exposure or strong capability in implementing Model Context Protocol (MCP) tools/servers and Agent-to-Agent (A2A) communication patterns.Workflow Automation: Proven ability to design agents for task decomposition, tool execution, dynamic SQL generation, and automated pipeline monitoring.Skills:GCP Data Engineer,Agentic AI,BigQuery,LLM,Vertex AI,Gemini models,Google ADK