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Data Engineer - Link Key People(m/w/x)
Architecting data solutions for global biopharmas, enabling AI initiatives. Python and Spark expertise for massive datasets required. Fitness reimbursement, Veeva Work Anywhere.
Requirements
- Experience with Python and Apache Spark/PySpark for massive datasets
- Expertise in building cloud-native software within AWS or GCP
- Background in designing/maintaining modern architectures (Data Lakes, Lakehouses, Warehouses)
- Experience operating LLM systems in production
- Driving technical execution within Agile environments
- Strong English communication skills for global stakeholders
Tasks
- Design and build robust data pipelines
- Maintain data integrity and scalability
- Manage complex hierarchical relationships of entities
- Architect data solutions for global biopharmas
- Enable global AI initiatives in high-impact environments
- Design PySpark pipelines for data integration
- Collaborate on ML models for Lakehouse architecture
- Identify and implement end-to-end HCO data pipelines
- Refine data structures and processing logic
- Apply solid principles and clean patterns
- Advance long-term architectural roadmap
- Validate high-quality HCO deliveries
- Optimize underlying infrastructure
- Monitor and log performance metrics
- Maintain proactive interest in AI tools
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Apache Spark
- PySpark
- AWS
- GCP
- DeltaLake
- Redshift
- LLM
Benefits
Other Benefits
- Comprehensive benefits package
Healthcare & Fitness
- Fitness reimbursement
Flexible Working
- Veeva Work Anywhere
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Data Engineer - Link Key People(m/w/x)
Architecting data solutions for global biopharmas, enabling AI initiatives. Python and Spark expertise for massive datasets required. Fitness reimbursement, Veeva Work Anywhere.
Requirements
- Experience with Python and Apache Spark/PySpark for massive datasets
- Expertise in building cloud-native software within AWS or GCP
- Background in designing/maintaining modern architectures (Data Lakes, Lakehouses, Warehouses)
- Experience operating LLM systems in production
- Driving technical execution within Agile environments
- Strong English communication skills for global stakeholders
Tasks
- Design and build robust data pipelines
- Maintain data integrity and scalability
- Manage complex hierarchical relationships of entities
- Architect data solutions for global biopharmas
- Enable global AI initiatives in high-impact environments
- Design PySpark pipelines for data integration
- Collaborate on ML models for Lakehouse architecture
- Identify and implement end-to-end HCO data pipelines
- Refine data structures and processing logic
- Apply solid principles and clean patterns
- Advance long-term architectural roadmap
- Validate high-quality HCO deliveries
- Optimize underlying infrastructure
- Monitor and log performance metrics
- Maintain proactive interest in AI tools
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Apache Spark
- PySpark
- AWS
- GCP
- DeltaLake
- Redshift
- LLM
Benefits
Other Benefits
- Comprehensive benefits package
Healthcare & Fitness
- Fitness reimbursement
Flexible Working
- Veeva Work Anywhere
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Veeva Systems
Industry
Pharmaceuticals
Description
The company is a pioneer in industry cloud, helping life sciences companies bring therapies to patients faster.
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