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Python/Spark/AI Developer_TT

Джерело:
djinni.co
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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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