Data Engineer + Data Scientist
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About the job
RED is now looking for a hybrid Data Engineer + Data Scientist who can build scalable data pipelines and deliver advanced analytics/ML solutions. You’ll own end‑to‑end data workflows using Spark, Databricks, Glue and Snowflake. Key Responsibilities: - Build and maintain Spark/Databricks data pipelines - Develop ETL/ELT workflows (Glue / Databricks) - Model and optimise data in Snowflake - Build and deploy ML models (Python, scikit‑learn, MLflow) - Perform feature engineering, model validation, and monitoring - Deliver analytical insights and work closely with stakeholders - Ensure data quality, governance and documentation
Requirements
- Spark
- Databricks
- ETL/ELT workflows
- Snowflake
- ML modelling
- Python
Preferred Technologies
- Spark
- Databricks
- ETL/ELT workflows
- Snowflake
- ML modelling
- Python
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