Solvd · USA
Skills: HTML/CSS, Python, AWS
Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. We are looking for a Senior Data Engineer to build the four source connectors and ingestion pipeline that turns raw knowledge content into a governed, permission-tagged corpus in S3 and Amazon Bedrock Knowledge Bases. You’ll own the ingestion workstream end to end inside an architecture set by the Solution Architect, working paired with the retrieval engineer so no deliverable sits with one person. The mission: get every in-scope item from four source systems into the index with its metadata, permissions, and lineage intact — on a sync schedule the client can tune, with retirement propagating on the next run. WHAT YOU’LL DO - Build the iKNOW connector against Oracle B2C Service knowledge APIs — full inventory extract, then incremental sync by modified date with article status and answer version captured. - Build SharePoint, OneDrive, and Teams connectors on Microsoft Graph — site and drive enumeration, delta queries for incremental change, and capture of sharing and group membership as permission metadata on every item. - Build the Sitecore connector against its content APIs for public web content in scope. - Implement the ingestion pipeline — landing in S3 with per-source prefix convention, document conversion and text extraction,…
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