
Highly Experienced Data Engineering Professional Wanted
1 day ago
We are seeking an experienced Senior Backend Data Engineer to develop and maintain scalable data pipelines using API-first approach.
Key Responsibilities:
- Design and implement crawling/fetch pipelines utilizing Playwright/Requests.
- Parsing/normalization of job postings & CVs, deduplication/delta logic with seen hash, repost heuristics.
- Embeddings/similarity search controlling Azure OpenAI, vector persistence in pgvector.
- Integrate HR4YOU (API/webhooks/CSV import), SerpAPI, BA job board, email/SMTP services.
- Develop batch/stream processing with Azure Functions/container jobs, retry/backoff, dead-letter queues.
- Implement telemetry for data quality: freshness, duplicate rate, coverage, cost per 1,000 items.
- Collaborate with FE for exports (CSV/Excel, presigned URLs) and admin configuration.
Requirements:
- 4+ years of backend/data engineering experience.
- Proficiency in Python (FastAPI, pydantic, httpx/requests, Playwright/Selenium), solid TypeScript for smaller services/SDKs.
- Azure expertise: 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:
- 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.
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