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redshift aws python gcp apache spark📋 Description
- Architect the 'Data DNA' to power AI-driven insights for biopharma.
- Lead global AI initiatives in high-stakes, high-impact environments.
- Design PySpark pipelines and integrate ML models into Lakehouse data.
- Identify, implement, and maintain end-to-end HCO data pipelines.
- Refine data structures and processing logic for changing market needs.
- Apply solid principles and clean patterns to data tasks.
🎯 Requirements
- Experience with Python and Apache Spark/PySpark on large datasets.
- Cloud-native software development in AWS or GCP.
- Architectures: Data Lakes, Lakehouses, Warehouses (DeltaLake, Redshift).
- Experience operating LLMs in production with third-party models and multi-model orchestration.
- Drive technical execution in Agile teams with strong English communication.
🎁 Benefits
- Comprehensive benefits package.
- Fitness reimbursement.
- Veeva Work Anywhere.
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