Software Engineer (python,Django,Pandas/ Polars)
- Python in production
Idiomatic Python — packages and modules, type hints, exception handling, dependency and virtual-environment management. You can read an unfamiliar codebase and change it safely.
- Django
Models, migrations, querysets, the admin, middleware, settings across environments. You understand the ORM well enough to know when it will generate a bad query.
- Django REST Framework
Serializers, viewsets, permissions, authentication, pagination, versioned endpoints, and a clean OpenAPI/Swagger contract.
- PostgreSQL and SQL
Schema design, migrations, indexing, reading query plans, transaction behaviour, and writing non-trivial SQL by hand. You can tell whether a query will hold up under load.
- Message queue / task queue
Experience with an asynchronous task or message queue — Celery with Redis or RabbitMQ, RQ, or equivalent. Queues and workers, scheduling, retries with backoff and failure handling, and debugging a job that silently never ran. You know why a task must be safe to execute twice.
- Redis
Working knowledge as a broker/result backend and cache: keys and expiry, data structures, connection and memory behaviour, and what happens when it fills up or restarts.
- pandas or polars
Loading and transforming tabular data from CSV, Excel, JSON and Parquet. Comfortable with joins, reshaping, dtypes, null handling, and tracing a bad value from source file to database record.
- Google Cloud Platform (or an equivalent cl