Senior Data Ingestion Engineer (AWS / Document Extraction / AI-RAG Prep)

ZentixSoft is looking for two Senior Data Ingestion Engineers! 🚀 Format: Direct Contract Engagement (1-Year Contract, 100% Full-Time Remote). 💡 Why ZentixSoft Partner Network? 💸 Transparent Compensation: Direct payroll arrangement with $40 USD/hour base compensation. ⚖️ Work-Life Balance: Sustainable engineering workflows with predictable long-term deliverables. 🦾 Trust & Transparency: Zero micromanagement and full autonomy over your technical pipeline architecture. 🎁 Culture & Growth: Long-term project stability within large-scale financial and insurance data domains. 🧩 Responsibilities: Pipeline Design & Engineering: Design and deploy scalable data ingestion pipelines for high-volume structured/unstructured documents (PDFs, scans, emails, Word, Excel, PowerPoint). Document Extraction & OCR: Implement OCR and document processing workflows using AWS Textract (or equivalent) for text extraction, cleaning, normalization, and metadata tagging. RAG & Vector Storage Prep: Execute semantic chunking, metadata extraction, vector storage schema design, and retrieval mechanism preparation for downstream AI models. Integrations & Connectors: Build robust connectors with enterprise sources, including SharePoint, email servers, and public cloud repositories. Validation & Observability: Implement automated error monitoring, OCR extraction validation, and CI/CD automated testing using AWS Step Functions and CloudWatch. 🎓 Our Perfect Match (Requirements): Senior Data Engineering: 7+ years of commercial Data Engineering experience, with strong proficiency in Python and SQL . AWS Expertise: 5+ years of hands-on experience in AWS environments, specifically AWS S3, Step Functions, CloudWatch , and public cloud data processing. Unstructured Data & OCR: Proven background in building document extraction pipelines (handling PDFs, scanned images, emails, Office documents) and utilizing OCR technology ( AWS Textract or similar ). Source Connectors & Pipeline Operations: Practical experience integrating sources like SharePoint and email, performing text normalization, metadata tagging, and maintaining CI/CD/Git testing standards. EU Residency & Location: Candidates MUST reside in an EU member country (with active legal residency; citizenship can be non-EU/global). Language & Communication: C1 Advanced English (verbal and written) for direct technical collaboration. ➕ Good to Have: Experience with Vector Databases, RAG architectures, semantic chunking , and vector retrieval mechanisms. Background in Insurance or Financial Services industries handling enterprise security standards. Exposure to Azure or Databricks platform components. 📍 Project Details: ⏳ Duration: 1 Year (Full-time contract). 🚀 Target Start: End of October. 📍 Location: 100% Remote (Must be physically located in an EU member state with valid residency).