
Senior Data Integration Specialist
14 hours ago
Job Description:
We are seeking a highly skilled Senior Data Integration Specialist to join our team.
The ideal candidate will have experience in designing and implementing data pipelines, integrating external systems and interfaces, and working with large datasets.
- Development of crawling/fetch pipelines (API-first; playwright/requests only where permitted)
- Parsing/normalization of job postings & CVs, deduplication/delta logic (seen hash, repost heuristics)
- Embeddings/similarity search (controlling Azure OpenAI, vector persistence in pgvector)
- Integrations: HR4YOU (API/webhooks/CSV import), SerpAPI, BA job board, email/SMTP
- Batch/stream processing (Azure Functions/container jobs), retry/backoff, dead-letter queues
- Telemetry for data quality (freshness, duplicate rate, coverage, cost per 1,000 items)
- 4+ years of backend/data engineering experience
- Python (FastAPI, pydantic, httpx/requests, Playwright/Selenium), 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)
Nice-to-have skills include:
- NLP/IE experience (spaCy/regex/rapidfuzz), document parsing (pdfminer/textract)
- Experience with license/ToS-compliant data retrieval, captcha/anti-bot strategies (legally compliant)
- 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
This role offers the opportunity to work with cutting-edge technologies, collaborate with a talented team, and contribute to the development of innovative solutions.
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