Solvd Senior Data Engineer at Solvd building ingestion pipelines and connectors for knowledge content. Own end-to-end ingestion workstream to deliver governed, permission-tagged corpus in AWS.
Responsibilities
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, deduplication by content hash, metadata enrichment from taxonomy, and Bedrock Knowledge Base data source sync with chunking parameters set by the architect.
Produce inventory extracts for content disposition reviews and counts that feed the end-of-Phase-1 re-baselining.
Implement retirement handling — items marked retired or deleted at source are removed from the index on the next sync.
Handle throttling and backoff for Oracle and Microsoft APIs, idempotent re-runs, and failure isolation per source so one connector’s outage does not stall the others.
Instrument every pipeline stage with CloudWatch metrics and write the ingestion runbooks.
Pair with client IT during weeks 7–10 so they can run, re-run, and extend the pipelines after transition.
Qualification
AWS Certified Data Engineer AssociateExperience with AWS GlueWhen you join Solvd
Required
4+ years building data pipelines in production, at least 2 of them on AWS with Python.
Hands-on with Microsoft Graph API for SharePoint and Teams content — delta queries, permissions, and throttling — or equivalent enterprise content platform experience.
Experience landing unstructured content (HTML, Office documents, PDF, chat transcripts) into S3 and preparing it for search or vector indexing.
Working knowledge of Amazon Bedrock Knowledge Bases data sources and sync behavior, or a comparable vector ingestion path on OpenSearch.
Infrastructure-as-code experience with Terraform or AWS CDK and CI for pipeline deployment into a client-owned account.
Comfortable working from a shared backlog in client repositories with documentation written as the work is done.
Preferred
AWS Certified Data Engineer Associate.
Prior integration with Oracle B2C Service or another Oracle Service Cloud product.
Prior integration with Sitecore XM or XP content APIs.
Experience with AWS Glue, Step Functions, or EventBridge for orchestration, and with document parsing libraries for Office and PDF formats.
When you join Solvd, you'll...
Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation.
Be part of a global team with equal opportunities for collaboration across continents and cultures.
Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.