Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. Do the Right Thing, Customer Success, Employee Success, and Speed. 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. It helps professionals to find the right people for, e.g., 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. As a data engineer, you focus on our data pipelines and take 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 pipelines and adjusting them to changing demands of the market. 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. Work on Veeva Link s next-gen Data Platform Work with JVM-based languages or Python on Spark-based data pipelines Operate ML models in close cooperation with our data science team Expert skills in Java or Python Experience writing software for the cloud (AWS or GCP) Speaking and writing in English enables you to take part in day-to-day conversations in the team and contribute to deep technical discussions Experience with operating machine learning models (e.g., Experience with Data Lakes, Lakehouses, and Warehouses (e.g., DevOps skills, including terraform and general CI/CD experience Previously
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Role summaryData Engineer I is responsible for designing and developing modern, data-centric applications that support clinical and operational workflows across the healthcare system. These solutions leverage cloud technologies, big data platforms, data science methodologies...
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