Python/Spark/AI Developer_TT
- Джерело:
- djinni.co
Що робити
- Rebuild legacy T-SQL stored-procedure logic as typed, tested PySpark pipelines
- Prove that the new pipelines match the legacy outputs
- Build FastAPI services that run and report on pipeline jobs
- Add provider-neutral LLM features (local and hosted models) to the data workflows
- Work in a spec-first codebase: design docs and ADRs, with tests and documentation shipped alongside every change
Що очікуємо
- Python as your primary production language: modern typed Python (3.10+, ideally 3.12), with type hints that pass pyright or mypy, and Pydantic models
- 2+ years running production Apache Spark / PySpark pipelines, using the DataFrame API and Spark SQL, partitioning and performance tuning, and with a solid grasp of the driver/executor architecture
- Maintainable, tested code (pytest), with tooling such as uv or Poetry and a CLI framework such as Click
- Based in Europe or South Africa and happy to work UTC+2 hours
- Strong advantages
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