
Data Infrastructure Specialist
6 days ago
We are seeking a skilled Senior Data Engineer to build robust data pipelines, integrate external systems, and develop scalable interfaces.
About the Role:
The ideal candidate will have a strong background in backend engineering with expertise in data processing, integration, and architecture. They will be responsible for designing, developing, and maintaining large-scale data systems that are reliable, efficient, and secure.
Key Responsibilities:
- Develop high-quality data pipelines using Python (FastAPI, pydantic, httpx/requests) and Azure Functions/Container Apps or AKS jobs.
- Design and implement database solutions using PostgreSQL, pgvector, and query design & performance tuning.
- Integrate with HR4YOU (API/webhooks/CSV import), SerpAPI, BA job board, email/SMTP services.
- Collaborate with frontend engineers for exports (CSV/Excel, presigned URLs) and admin configuration.
- Implement telemetry for data quality (freshness, duplicate rate, coverage, cost per 1,000 items).
Required Skills and Qualifications:
- 8+ years of backend/data engineering experience.
- Proficiency in Python, TypeScript, and Azure technologies.
- Strong understanding of database concepts, data modeling, and ETL/ELT patterns.
- Familiarity with messaging systems, Service Bus/Queues, idempotence & exactly-once semantics.
- Knowledge of clean code principles, testability (pytest), and observability (OpenTelemetry).
Benefits:
- Ongoing training and professional development opportunities.
- A collaborative and dynamic work environment.
- A competitive salary and benefits package.
Nice-to-Have Qualifications:
- NLP/IE experience (spaCy/regex/rapidfuzz), document parsing (pdfminer/textract).
- Licenses and ToS-compliant data retrieval experience.
- Tools/stack: GitHub, GitHub Actions/Azure DevOps, Docker, pnpm/Turborepo (Monorepo), Jira/Linear, Notion/Confluence.
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