Global Data Operations Specialist
hace 3 semanas
As a Senior Data Infrastructure Engineer at Veeva Systems, Inc., you will play a pivotal role in shaping the future of life sciences data management. Our company has achieved remarkable growth, surpassing $2 billion in revenue in the last fiscal year, and we're poised for even greater success.
Our team is driven by a shared commitment to Do the Right Thing, Customer Success, Employee Success, and Speed. In 2021, we became a public benefit corporation, ensuring that our decisions balance the needs of customers, employees, society, and investors.
We're a Work Anywhere company, offering the flexibility to work from home or in the office, so you can thrive in your ideal environment.
Join us in revolutionizing the life sciences industry, dedicated to making a positive impact on customers, employees, and communities.
The Role
Veeva OpenData Commercial provides essential reference data across the healthcare ecosystem, supporting commercial sales execution, compliance, and business analytics. Our team drives value to customers through continuous innovation, leveraging cloud-based solutions and cutting-edge technologies to deliver product excellence and customer success.
The Data Platform Engineering team delivers the tools and data processing pipelines to build the global data core for life sciences in over 100 countries.
You will be responsible for developing data tools to streamline global data operations and collaborating with cross-functional teams to deliver data solutions as a data engineer in our global Data Platform Engineering team at OpenData.
This role requires you to be based in Spain and hold legal work authorization, as Veeva does not sponsor employment visa processes for this position.
What You'll Do
- Design and implement data pipelines using distributed storage platforms
- Collaborate with cross-functional teams to deliver data solutions
- Contribute to the Data Engineering community at OpenData to influence tooling and standards to improve data quality and productivity
- Develop a data validation framework to automate quality control processes
Requirements
- Over 3 years of hands-on Python development experience for production systems
- Proficiency in data cloud computing technologies (EMR, Databricks) within leading cloud platforms (AWS, Google Cloud, or Azure)
- Skilled in designing and implementing data pipelines using distributed storage platforms
- Demonstrated analytical skills and structured approach to software design
- A strong intrinsic desire to learn and fill in missing skills
- Highly proactive in finding ways to overcome challenges
Nice to Have
- Proficiency in Git, including knowledge of branching strategies, merge mechanisms, and repository management
- Demonstrated ability to build and maintain test automation frameworks and CI/CD pipelines
- Experience with Polars
Perks & Benefits
- A competitive salary range of $120,000 - $180,000 per year, depending on experience
- Benefits package including Restricted Stock Units (RSUs), family health insurance, and contributions to private pension plans
- Annual allocations for continuous learning, development & charitable contributions
- Fitness reimbursement
- Flexible work arrangement
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