
Data Engineering Specialist
3 days ago
At PayPal, we're committed to building an equitable and inclusive global economy. We believe that everyone deserves access to financial services that are secure, convenient, and easy to use. That's why we offer a wide range of payment solutions that cater to different needs and preferences.
Job Summary
We're looking for a talented Data Engineer to join our team. As a key member of our Finance Technology and Insights organization, you'll be responsible for designing, developing, and maintaining large-scale data pipelines and workflows using technologies such as Hadoop, BigQuery, and Google Cloud Platform. You'll also work closely with cross-functional teams to identify data needs and define requirements, leveraging your analytical mindset and technical expertise to deliver high-quality results in a fast-paced environment.
Responsibilities
- Design, develop, and maintain data pipelines and workflows using Hadoop, BigQuery, and Google Cloud Platform.
- Leverage S4 HANA to extract and process financial data, ensuring accuracy and completeness.
- Optimize data architecture and implement robust data governance policies to support scalable, reliable insights.
- Troubleshoot and resolve data quality issues, ensuring high performance and efficiency.
Qualifications
- 5+ years of experience in data engineering roles, with a focus on Hadoop, Big Query, Google Cloud Platform, and S4 HANA.
- Demonstrated experience working with finance systems or within the fintech domain.
- Hands-on experience with large-scale data processing and real-time data workflows.
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