- Build and maintain data pipelines using SQL (on BigQuery, using dbt), Spark, Airflow.
- Develop cloud-native data solutions on GCP.
- Operationalise, monitor, and support machine learning models in production.
- Implement data quality, governance, lineage, and monitoring controls.
- Collaborate with Data Scientists and Engineers to deliver reliable, scalable solutions.
- Drive adoption of engineering best practices across Data Engineering and MLOps.
- Act as a GCP champion and support the team's growth in cloud capabilities.
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