This job will will lead the design and implementation of complex data systems and architectures. You will work with stakeholders to understand requirements and deliver solutions. Your role involves driving best practices in data engineering, ensuring data quality, and mentoring junior engineers.
Essential Responsibilities:
- Lead the design and development of complex data pipelines for data collection and processing.
- Develop and maintain advanced data storage solutions.
- Ensure data quality and consistency through sophisticated validation and cleansing processes.
- Implement advanced data transformation techniques to prepare data for analysis.
- Collaborate with cross-functional teams to understand data requirements and provide innovative solutions.
- Optimize data engineering processes for performance, scalability, and reliability.
Expected Qualifications:
- 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
Additional Responsibilities & Preferred Qualifications:
- Strong proficiency in BigQuery , Hadoop , and Big Data ecosystems .
- Experience with GCP services (Dataflow, Pub/Sub, Cloud Storage).
- Advanced knowledge of SQL and data modeling.
- Familiarity with ETL tools and data pipeline automation .
- Problem-solving skills and ability to work in agile environments .
Belonging at PayPal:
Any general requests for consideration of your skills, please