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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and maintain scalable Azure-based data ingestion pipelines and platforms enabling Generative AI, RAG, and intelligent automation.
Build and optimize document processing, vector search solutions, and AI-driven data workflows including Retrieval Augmented Generation (RAG) and Azure AI Search indexes.
Implement security (RBAC, Row-Level Security) and governance best practices while monitoring and tuning platform performance for reliability.
Minimum Requirements
4 to 8 years of relevant experience in data engineering or AI data platforms.
Strong Python and SQL programming skills with experience in Azure Data Services (Databricks, Synapse, Data Factory, Azure Functions).
Hands-on experience building ETL/ELT data pipelines and working with Azure AI Search or similar platforms implementing RAG, embeddings, and vector search.
Bachelor's or Master's degree in Computer Science, Data Engineering, IT, or a related field. Certifications like Azure Data Engineer (DP-203) or Azure AI Engineer (AI-102) are preferred.
Ideal Candidate Profile
Has deep practical experience in enterprise data integration from diverse sources such as SharePoint, Azure DevOps, and databases within Azure cloud ecosystems.
Demonstrates strong operational focus on building AI-ready reliable data platforms supporting high-quality search and retrieval with measurable performance and security compliance.
Experience collaborating closely with AI teams on knowledge retrieval, AI automation solutions, and workflow orchestration using emerging tools like LangGraph, LangFlow, or Dagster.