Azure Data Engineer AI Pipelines
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Key Responsibilities
Design pipelines ingesting, transforming, and delivering enterprise data Develop integrations using APIs, Graph connectors, and event-driven architectures Maintain data stores and indexing for RAG patterns Implement quality, validation, lineage, and governance controls Instrument pipelines for monitoring, cost, and performance optimization
Requirements:
Four-plus years building and operating production data pipelines Proficiency in Python and SQL Experience with Azure Data Factory, Synapse, Data Lake Storage, and Azure SQL Experience with structured, semi-structured, and unstructured data Knowledge of security, privacy, access control, and encryption Apply data engineering expertise across Azure, Python, SQL, governance, and AI retrieval infrastructure at GEI. #J-18808-Ljbffr
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