We are looking for a mid-to-senior Data & Machine Learning Engineer to support the development of solutions focused on data quality and rule inference.
Responsibilities:
Develop data processing pipelines based on reusable components using PySpark, Databricks and Airflow
Build, train, and deploy machine learning models on large datasets
Analyze data to identify patterns and infer data quality rules
Support the operationalization of models in production environments
Strong experience with Python and PySpark
Hands-on experience developing and deploying ML models
Experience working with large-scale data processing environments
Strong analytical and problem-solving skills
Nice to have
Experience with data quality or data governance
Knowledge of Master Data Management (MDM)
Familiarity with SAP MDG or SAP master data structures
5 dias de ausência programada.