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3 days ago
Senior Data Integration Specialist
- Design and implement scalable data pipelines, including crawling, parsing, deduplication, and embeddings.
- Connect external systems and interfaces to enhance data quality and efficiency.
The ideal candidate will have a strong background in backend/data engineering, including experience with design and implementation of data pipelines, parsing/normalization of job postings & CVs, deduplication/delta logic, embeddings/similarity search, and integrations with various systems.
Key technologies include Python, TypeScript, Azure, PostgreSQL, and pgvector. Knowledge of clean ETL/ELT patterns, testability, and observability is essential.
Nice-to-have skills include NLP/IE experience, document parsing, and working method such as API-first, clean code, trunk-based development, and mandatory code reviews.
Requirements:- 4+ years of backend/data engineering experience
- Python (FastAPI, pydantic, httpx/requests), solid TypeScript for smaller services/SDKs
- Azure: Functions/Container Apps or AKS jobs, Storage/Blob, Key Vault, Monitor/Log Analytics
- Messaging: Service Bus/Queues, idempotence & exactly-once semantics, pragmatic approach
- Databases: PostgreSQL, pgvector, query design & performance tuning
- Clean ETL/ELT patterns, testability (pytest), observability (OpenTelemetry)
- NLP/IE experience (spaCy/regex/rapidfuzz), document parsing (pdfminer/textract)
- Experience with license/ToS-compliant data retrieval, captcha/anti-bot strategies
- Working method: API-first, clean code, trunk-based development, mandatory code reviews
- Tools/stack: GitHub, GitHub Actions/Azure DevOps, Docker, pnpm/Turborepo (Monorepo), Jira/Linear, Notion/Confluence
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