Data and AI Knowledge Engineer - Associate
Weaver and Tidwell India LLP (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 6–12 LPA
Posted 13h ago
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Job description
Structured overview of role & requirements
About This Role
- Own and engineer data pipelines, knowledge architectures, and retrieval systems to support enterprise AI and automation applications.
- Ensure data reliability through metadata management, lineage tracking, data quality controls, and permissions enforcement across multiple Microsoft platforms.
- Monitor and report on data source availability, pipeline health, index freshness, and retrieval performance metrics to maintain authoritative and current AI input data.
Minimum Requirements
- 1-2+ years experience in data engineering, information architecture, search engineering, or related fields.
- Proficiency in SQL, Python, Microsoft Fabric, Azure Data Factory, Azure AI Search, Dataverse, SharePoint, Azure Data Lake, and Power BI.
- Experience with building and managing data pipelines, metadata, taxonomies, and knowledge retrieval systems, including permission and sensitivity controls.
- Work Experience Required: 1-2+ years in relevant data and AI engineering roles.
Ideal Candidate Profile
- Experienced in integrating and managing data across Microsoft ecosystem products for AI and enterprise search use cases.
- Capable of collaborating with domain SMEs to map business terminology and metadata into technical knowledge structures.
- Skilled at ensuring data governance, operational monitoring, and maintaining traceable, permission-aware information pipelines supporting AI outputs.