Senior Data Platform Engineer

1 semana atrás


Lisboa, Lisboa, Portugal Veeva Systems, Inc. Tempo inteiro

Veeva Systems, Inc. is a pioneering force in industry cloud, empowering life sciences companies to accelerate therapies to patients faster. With a revenue milestone of $2 billion in the last fiscal year, we continue to break growth records. Our core values – Do the Right Thing, Customer Success, Employee Success, and Speed – drive our mission. As a public benefit corporation (PBC), we're committed to balancing stakeholder interests. Embracing Work Anywhere flexibility, we support your ideal work environment.

Our company is transforming the life sciences industry, dedicated to making a positive impact on customers, employees, and communities. Veeva Link connects key people to improve research and care, facilitating clinical trials, education programs, and advisory boards. This streamlined access reduces time-to-market for essential drugs, enables expert participation in trials, and spreads information about new treatments within the life science community.

You can read more about Veeva Link on our product pages at https://www.veeva.com/products/veeva-link/.

The Role

As a Senior Data Platform Engineer, you'll focus on our data pipelines, assuming end-to-end ownership of major parts of the Link data processing platform. We value technical excellence, which puts you at the forefront of finding, designing, and implementing improvements to the product's data pipelines, adapting them to changing market demands.

You will be responsible for features and innovation using SOLID principles, participating in architectural enhancements, and ensuring quality outcomes. Monitoring, metrics, and general observability are integral aspects of feature design.

Your Responsibilities
  • Work on Veeva Link's next-gen Data Platform
  • Improve our current environment with features, refactoring, and innovation
  • Collaborate with JVM-based languages or Python on 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
  • Experience writing software for the cloud (AWS or GCP)
  • Proficiency in English enables you to participate in day-to-day conversations and contribute to deep technical discussions
Perks & Benefits
  • Comprehensive benefits package
  • Annual allocations for continuous learning, development, and charitable contributions
  • Fitness reimbursement
Estimated Salary Range: $140,000 - $160,000 per year

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