Über
Automate periodic reporting and ensure compliance with evolving regulatory standards Analyze transaction-level data for interchange optimization and revenue attribution Design and optimize data structures for high-volume transactional data processing
Required Qualifications
8+ years in data engineering, analytics, or reporting, with 5+ years in Payments and Fintech Deep knowledge of payment domains, specifically card network file structures and specifications Expertise in SQL and Python (or Java) for data processing and reporting automation Proven ability to model scalable data structures in high-volume environments Background in Accounting or Finance to support complex financial data tracking
Sprachkenntnisse
- English
Hinweis für Nutzer
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