Data Engineer, Python
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Job Description
Python Data Engineer responsible for core algorithms and data processing in a workforce management platform. Developing planning, rostering, and dispatch engines using Python and Azure technologies.
Responsibilities:
- Own the Python engine layer for algorithms and data processing
- Process large volumes of operational schedule data through constraint evaluation
- Generate periodic staff rosters by solving constraint problems
- Real-time task assignment using proximity scoring against live employee location data
- Scheduled KPI aggregation and SLA scoring across all modules
Requirements:
- 5 or more years of Python backend or data engineering experience
- Experience with constraint solving, optimization, or scheduling algorithms (OR-Tools, PuLP, or equivalent)
- Strong data processing experience with large datasets (Polars, pandas, or Apache Spark)
- Experience with task queues and async processing (Celery, RQ, or equivalent)
- Familiarity with Azure
- Comfortable working with SQL databases and writing performant queries
- Experience consuming REST APIs and message queues
- Experience with Azure Functions or equivalent serverless compute
- Experience with OR-Tools specifically
- Knowledge of scikit-learn or ML model integration (ONNX, Azure ML) for a future ML upgrade path
- Experience with Pydantic for data validation and schema enforcement
- Experience with large-scale workforce management or scheduling systems
- Familiarity with SLA-based operational frameworks
- Experience working in fast-paced, operationally critical environments
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