Data Pipeline Specialist
2 semanas atrás
At Veeva Systems, we're a mission-driven organization and industry pioneer in cloud-based solutions for the life sciences sector. Our goal is to help companies bring innovative therapies to patients faster, leveraging our expertise in industry cloud technology.
We've achieved significant growth in recent years, surpassing $2 billion in revenue in our last fiscal year, with extensive potential for future expansion. Our values serve as the foundation of our success: Do the Right Thing, Customer Success, Employee Success, and Speed. As a public benefit corporation (PBC), we prioritize balancing the interests of customers, employees, society, and investors.
Veeva offers a flexible Work-Anywhere model, allowing employees to work from home or in the office, enabling them to thrive in their ideal environment. Join us in transforming the life sciences industry and making a positive impact on our customers, employees, and communities.
The Role
You'll focus on our data pipelines as a Data Engineer, taking responsibility for a significant portion of the Link data processing platform. We value end-to-end ownership, empowering you to find, design, and implement improvements to the product's data pipelines, adapting them to changing market demands.
As a specialist in this field, you'll use SOLID principles and clean software practices to develop features and innovations. You'll participate in architectural enhancements and ensure the quality of outcomes. Monitoring, metrics, and observability are integral components of feature design.
We hire Data Engineers across different engineering domains: Sourcing, Tagging, Matching, and Provisioning. Depending on your domain, you'll focus on various aspects. Together, we'll determine which domains fit best for you.
What You'll Do
Work on Veeva Link's next-generation Data Platform
Enhance our current environment through feature development, refactoring, and innovation
Collaborate on JVM-based languages or Python for Spark-based data pipelines
Operate ML models in close cooperation with our data science team
Experiment in your domain to improve precision, recall, or cost savings
Requirements
Expert skills in Java or Python
Experience with Apache Spark or PySpark
Proficiency in writing software for the cloud (AWS or GCP)
Effective communication and writing skills in English, enabling participation in day-to-day conversations and contributing to deep technical discussions
Nice to Have
Experience with operating machine learning models (e.g., MLFlow)
Knowledge of Data Lakes, Lakehouses, and Warehouses (e.g., DeltaLake, Redshift)
DevOps skills, including Terraform and general CI/CD experience
Previous experience in agile environments
Experience with expert systems
Perks & Benefits
Comprehensive benefits package
Annual allocations for continuous learning, development, and charitable contributions
Fitness reimbursement
Veeva's headquarters is located in the San Francisco Bay Area, with offices in over 15 countries worldwide.
As an equal opportunity employer, Veeva fosters a culture of inclusion and strives to grow a diverse workforce. Diversity enriches us, coming in many forms: gender, race, ethnicity, religion, politics, sexual orientation, age, disability, and life experience shape each individual. We value people for who they are and the contributions they can bring to our teams.
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