Related skills
redshift aws python gcp pyspark📋 Description
- Architect the data DNA for AI insights in biopharma
- Design PySpark pipelines and ML model collaboration for Lakehouse
- Build end-to-end HCO data pipelines and data structures
- Deploy clean patterns; advance the long-term architecture roadmap
- Govern and monitor data delivery quality and availability
- Embrace AI-driven development to streamline data problems
🎯 Requirements
- Python and PySpark for massive datasets
- Cloud-native software on AWS or GCP
- Data Lakes/Lakehouses/Warehouses (DeltaLake, Redshift)
- Production LLMs with third-party models and feedback loops
- Agile execution with strong English for global stakeholders
🎁 Benefits
- Comprehensive benefits package
- Fitness reimbursement
- Veeva Work Anywhere
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