
Senior Backend Data Engineer
2 days ago
As a seasoned data engineering expert, you will be responsible for designing and implementing scalable data pipelines that seamlessly integrate external systems and interfaces.
The ideal candidate will possess 4-8 years of experience in backend/data engineering and have proficiency in Python, TypeScript, Azure, and PostgreSQL.
The successful candidate will be accountable for crafting efficient crawling/fetch pipelines using API-first approaches with playwright/requests where permitted, parsing/normalizing job postings & CVs, deduplicating/delta logic, and embedding/similarity search utilizing Azure OpenAI and pgvector.
Additionally, the candidate will develop integrations with HR4YOU, SerpAPI, BA job board, email/SMTP, and batch/stream processing using Azure Functions/container jobs, ensuring high-quality data processing and telemetry for data quality collaboration with frontend teams for exports and admin configuration.
Key Responsibilities:
- Developing sophisticated data pipelines that optimize performance and scalability
- Designing and implementing robust crawling/fetch mechanisms to collect relevant data
- Ensuring seamless integration of external systems and interfaces through efficient data processing
Required Skills and Qualifications:
- 4+ years of backend/data engineering experience
- Proficiency in Python (FastAPI, pydantic, httpx/requests, Playwright/Selenium), TypeScript, and Azure (Functions/Container Apps or AKS jobs, Storage/Blob, Key Vault, Monitor/Log Analytics)
- Messaging: Service Bus/Queues, idempotence & exactly-once semantics, and pragmatic approach
- Databases: PostgreSQL, pgvector, query design & performance tuning
- Clean ETL/ELT patterns, testability (pytest), observability (OpenTelemetry)
Benefits:
This role offers a challenging and rewarding work environment that fosters professional growth and development. If you are passionate about backend/data engineering, we encourage you to apply with your resume and cover letter.
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