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Data Platform Engineer
hace 2 meses
Veeva Systems is a pioneering organization in the industry cloud, dedicated to helping life sciences companies accelerate the delivery of therapies to patients. As one of the fastest-growing SaaS companies in history, we have achieved significant revenue growth and continue to expand our capabilities.
At the heart of Veeva are our core values: Doing the Right Thing, Customer Success, Employee Success, and Speed. We are committed to balancing the interests of our customers, employees, society, and investors, and have made history by becoming a public benefit corporation (PBC) in 2021.
The RoleVeeva Link is a cutting-edge platform that supports the life sciences industry by building connected data applications to improve research and patient outcomes. It enables professionals to find the right people, such as clinical trials, education programs, or advisory boards, thereby reducing the time-to-market of essential drugs and facilitating trials with the most relevant experts in their respective fields.
As a Data Platform Engineer, you will focus on our Data Platform, bringing software and data engineering skills to the table and taking responsibility for a major part of the system landscape. We value end-to-end ownership, rational thinking, and an analytical mindset. You will be responsible for features and innovation using SOLID and clean software principles, participate in the architectural enhancement process, and ensure the quality of the outcome. Monitoring, metrics, and general observability will be part of the feature design process.
Key Responsibilities- Shape and work on Veeva Link's next-gen Data Platform
- Improve our current environment with features, refactoring, and innovation
- Work with JVM-based languages, preferably Python or Java, on Spark-based data pipelines
- Experiment in your domain to improve precision, recall, or cost savings
- Apply software engineering skills to build maintainable, extensible, and SOLID data applications
- 3+ years of experience
- Expert skills in Python or Java
- Experience with Apache Spark
- Experience writing software for the cloud (AWS or GCP)
- Proficiency in English enables you to take part in day-to-day conversations in the team and contribute to deep technical discussions
- Experience with Data Lakes, Lakehouses, and Warehouses
