Lead Data Engineer at PayPal designing and implementing data systems. Collaborating with stakeholders to deliver solutions and drive best practices in data engineering.
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.
Requirements
3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
Bachelor’s degree in a quantitative field: Finance, Economics, Mathematics, Statistics, Engineering, Computer Science, or related discipline. (Master’s degree a plus)
3+ years leading BI initiatives: Delivering end-to-end data solutions, analyzing large datasets, and transforming them into actionable insights.
2+ years managing data extraction, transformation, and loading from multiple sources using advanced SQL and Jupyter Notebooks.
2+ years of experience creating dashboards and visualizations with Looker, Tableau, or similar.
2+ years of experience scripting for data manipulation, insights generation, and automation.
Hands-on exposure to anomaly detection, intelligent alerting, and integrating predictive models into BI dashboards.
Experience in the Fintech/Banking/Credit/Payment industry is a strong plus.
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