Veeva is a mission-driven organization that aspires to help our customers in Life Sciences and Regulated industries bring their products to market, faster. We are shaped by our values: Do the Right Thing, Customer Success, Employee Success, and Speed. Our teams develop transformative cloud software, services, consulting, and data to make our customers more efficient and effective in everything they do. Veeva is a work anywhere company. You can work at home, at a customer site, or in an office on any given day. As a Public Benefit Corporation, you will also work for a company focused on making a positive impact on its customers, employees, and communities.
Veeva Link supports the life sciences industry to connect with key people to improve research and care. It helps professionals to find the right people for e.g. clinical trials, education programs, or advisory boards. This streamlined access helps to reduce 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 life science community. You can read more about Veeva Link on our product pages at https://www.veeva.com/products/veeva-link/.
The product we build approaches parts of this problem through allocation and aggregation of publicly available information in GDPR conforming manner, respecting people's privacy.
As a data engineer with focus on Streaming, you take the responsibility for a major part of the Link data processing 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 pipeline and adjust it to changing demands in the market.
This includes, but is not limited to implementing, tuning and maintaining streaming data pipelines, based on technologies like Apache Kafka or AWS Kinesis at scale in the AWS cloud, to create a large number of high quality scientific leader’s profiles. Having a large Apache Spark infrastructure in place, you identify spots where streaming is superior to batch processing and and prove it. In addition, you will work on algorithms to derive insights from our data set and implement tools to ensure a frictionless delivery of data to our customers all around the globe.