
Backend Data Specialist
1 week ago
Backend Data & Integration Specialist
We are seeking a highly skilled and experienced professional to design, develop, and implement data pipelines, integrate external systems and interfaces, and ensure data quality.
The ideal candidate will have 4-8 years of experience in designing and developing scalable data solutions using API-first approach with playwright/requests where permitted.
- Design and develop crawling/fetch pipelines using API-first approach with playwright/requests where permitted.
- Parsing/normalization of job postings and CVs, deduplication/delta logic using seen hash and repost heuristics.
- Embeddings/similarity search using Azure OpenAI and vector persistence in pgvector.
- Integrate HR4YOU, SerpAPI, BA job board, email, and SMTP.
- Implement batch/stream processing using Azure Functions/container jobs, retry/backoff, and dead-letter queues.
- Telemetry for data quality including freshness, duplicate rate, coverage, and cost per 1,000 items.
Must-Have Requirements:
- 4+ years of backend/data engineering experience.
- Proficiency in Python (FastAPI, pydantic, httpx/requests, Playwright/Selenium) and solid TypeScript for smaller services/SDKs.
- Azure experience including Functions/Container Apps or AKS jobs, Storage/Blob, Key Vault, Monitor/Log Analytics.
- Messaging expertise including Service Bus/Queues, idempotence, and exactly-once semantics.
- Database knowledge including PostgreSQL, pgvector, query design, and performance tuning.
- Clean ETL/ELT patterns, testability (pytest), and observability (OpenTelemetry).
Nice-to-Have:
- NLP/IE experience (spaCy/regex/rapidfuzz) and document parsing (pdfminer/textract).
- Experience with license/ToS-compliant data retrieval and captcha/anti-bot strategies.
- Working method including API-first, clean code, trunk-based development, and mandatory code reviews.
- Tools/stack including GitHub, GitHub Actions/Azure DevOps, Docker, pnpm/Turborepo (Monorepo), Jira/Linear, Notion/Confluence.
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