Senior Data Engineer

Job Description

Senior Data EngineerDuration: 12-month contract that may extend Location: Hybrid onsite 3 days a week in one of the following areas Schedule Monday through FridayMUST HAVEGoogle Cloud Platform - 5 to 6 yrs.AI exposure - 6 months to a yearDemonstrable skills (recent) using AI tools such as LangChain, LangGraph/ADK, agentic frameworks, RAG, GraphRAG, and using MCP to build agent-based data capabilities5+ years of experience in data engineering including hands-on experience working with Cloud data solutions: creating/supporting Spark based ingestion and processing3+ years of experience with Data Lakehouse architecture and design, including hands-on experience with Python, pySpark, Kafka, Airflow, Google Cloud Storage, Big Query, Data Proc, Cloud ComposerHands-on experience developing data flows using Kafka, Flink, and Spark streamingIn this role you will:Implement and operationalize modern AI-enabled data capabilities on Google Cloud to ingest, transform, and distribute data for a variety of big data appsLeverage AI/Agentic frameworks to automate data management, governance, and data consumption capabilities - data pipelines, data quality, metadata, data compliance, etc.Work within a matrix org. with principal engineers, product managers, and data engineers to roadmap, plan, and deliver key data capabilities based on priority

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