Data Engineer, Python

This is a fully remote position, open to applicants in Sri Lanka.

📋 Description

• Take ownership of the Python engine layer responsible for algorithms and data processing.

• Manage and process extensive volumes of operational schedule data through constraint evaluation.

• Create periodic staff rosters by addressing constraint challenges.

• Assign tasks in real-time using proximity scoring based on live employee location data.

• Aggregate scheduled KPIs and score SLAs across all modules.

⛳️ Requirements

• A minimum of 5 years of experience in Python backend development or data engineering.

• Proficiency in constraint solving, optimization, or scheduling algorithms (such as OR-Tools, PuLP, or equivalent).

• Strong experience in data processing with large datasets (using tools like Polars, pandas, or Apache Spark).

• Familiarity with task queues and asynchronous processing (e.g., Celery, RQ, or similar).

• Knowledge of Azure and its services.

• Proficient in working with SQL databases and crafting efficient queries.

• Experience with consuming REST APIs and utilizing message queues.

• Familiarity with Azure Functions or comparable serverless computing solutions.

• Specific experience with OR-Tools is highly desirable.

• Understanding of scikit-learn or ML model integration (such as ONNX, Azure ML) for potential future ML enhancements.

• Hands-on experience with Pydantic for data validation and schema enforcement.

• Background in large-scale workforce management or scheduling systems.

• Understanding of SLA-based operational frameworks.

• Experience in fast-paced, operationally critical environments.

🏝️ Benefits

• Competitive salary and performance-based incentives.

• Opportunities for professional development and career advancement.

• Comprehensive health and wellness benefits.

• Flexible working hours and remote work options.

• Collaborative and innovative work environment.