Data Engineer

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).