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About
Operate as a bridge between engineering and analyst teams, contributing to processes that drive daily operations Manage and scale the business logic in the data pipeline, essential for customer offerings and business success Collaborate with internal and external stakeholders to understand data complexities
Required Qualifications
Experience in data engineering with a portfolio of projects or early career success Proficiency in writing production-ready code in languages such as Python, Scala, or Java, along with SQL Knowledge of relational data concepts and the ability to explain data model relationships Experience with big data and AI tools for data wrangling and pipeline configuration Interest in both engineering and finance, understanding investor evaluations and loan complexities
Languages
- English
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