
Senior Data Engineer β AI Ingestion Platform
Posted Jun 13

Posted Jun 13
This is a fully remote position, open to applicants in Argentina.
β’ Develop and manage the historical email ingestion pipeline utilizing Microsoft Graph API.
β’ Create a document ingestion pipeline for SharePoint/OneDrive with controlled folder access.
β’ Design and establish the PII minimization pre-processing layer.
β’ Construct the vector store indexing workflow (OpenSearch/Pinecone) ensuring data isolation per tenant.
β’ Define and implement the data processing schema; generate and maintain documentation for the schema.
β’ Create the OCR routing orchestrator and integrate OCR services for scanned documents.
β’ Implement the raw text and content extraction layer for all supported document types.
β’ Define and prototype ingestion strategies, comparing push versus pull methods, from initial proof of concept to incremental nightly pipelines.
β’ Ensure that data lineage and audit traceability are integrated into pipeline outputs from the beginning.
β’ Over 6 years of experience in data engineering with a strong background in pipeline and ETL/ELT processes.
β’ Expertise in Python for developing data pipelines.
β’ Familiarity with Microsoft Graph API or comparable enterprise email/document APIs (M365, Exchange Online).
β’ Experience with AWS data services including S3, DynamoDB, Glue, and/or Lambda-based event-driven processing.
β’ Knowledge of PII detection and data minimization techniques (using regex, NER, or specific libraries).
β’ Background in constructing vector store indexing or semantic search pipelines.
β’ Options for remote work.
Omada Health
BPO Global Services S.A.S
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