Data Engineer - Scoring - Veeva Link

.Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $2B in revenue in our last fiscal year with extensive growth potential ahead. At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors. As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment. Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities. The Role: Veeva Link supports the life sciences industry by building connected data applications to improve research and patient outcomes. It helps professionals to find the right people, e.G., clinical trials, education programs, or advisory boards. This streamlined access helps to reduce the time-to-market of important drugs, conduct trials with the most relevant experts in the respective field, and spread information about new treatments to key people in the life science community. You can read more about Veeva Link on our product pages. As a data engineer in the scoring domain, you focus on our scoring infrastructure and data pipelines. Your background in analytics helps you to contribute new scoring algorithms to the data platform. We value end-to-end ownership, which puts you into the sweet spot of finding, designing, and implementing improvements to the product's data pipelines and adjusting them to changing market demands. You take responsibility for features and innovation using SOLID and clean software principles, take part in the architectural enhancement process and care for the quality of the outcome. Monitoring, metrics, and general observability are part of the feature design process. This role requires a solid understanding of data analytics. A background in mathematics or statistics is beneficial. What You'll Do Work on Veeva Link's next-gen Data Platform Improve our current environment with features, refactoring, and innovation Work with Python on Spark-based data pipelines (pyspark, SparkSQL) You migrate Redshift-based calculations to our new infrastructure Create and improve new ways of scoring and ranking in and with our data Experiment in your domain to improve precision, recall, or cost savings Requirements Very good skills in Python Experience with pyspark and SparkSQL Experience writing software for the cloud, ideally for AWS Speaking and writing in English enables you to take part in day-to-day conversations in the team and contribute to deep technical discussions Nice to Have Experience with Data Lakes, Lakehouses, and Warehouses (e.G