We collect sensor data from production lines, but our quality reporting is still built from manual CSV exports. It is slow, inconsistent, and nobody is sure which version is right.
We need an analytics engineer to build a reliable reporting layer for sensor quality, downtime causes, and production exceptions. This is not a machine learning project yet. First we need trusted data and definitions.
Requirements
Technical stack needed for this mission.
- Strong SQL and Python data pipeline experience
- Comfortable with time-series or sensor data
- Experience with Airflow or similar orchestration