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Data Engineer

A global currency services provider offering Currency Converter, Market Analysis, Currency Data API and Money Transfers for individuals and businesses.
Santiago, Santiago Metropolitan Region, Chile
Data
Mid-Level Software Engineer
Hybrid
Finance
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Description For Data Engineer

XE is a leading global currency services provider, serving nearly 300 million people annually with currency information and facilitating international money transfers for over 150,000 customers. As part of Euronet Worldwide (Nasdaq: EEFT), XE combines multiple brands including HiFX and Currency Online to deliver comprehensive currency solutions. The Data Engineer role sits within the Data Science team, working with a sophisticated cloud data architecture processing data from 280 million annual visitors. The position offers the opportunity to work with an enterprise-grade events-based Martech stack, connecting various data sources to create meaningful business insights and drive product improvement. The role requires expertise in API development, data pipeline creation, and cloud services optimization, making it ideal for someone passionate about transforming raw data into valuable business assets. The company offers a comprehensive benefits package and the chance to work with a team dedicated to developing innovative currency services that prioritize customer needs.

Last updated 5 months ago

Responsibilities For Data Engineer

  • Develop and maintain data-serving performant API services
  • Design, develop, and maintain microservices for real-time data ingestion and ETL pipelines
  • Analyze and organize raw data across Xe's Martech stack
  • Develop and Maintain data lakes
  • Collaborate with data scientists and architects on several projects
  • Ensure all components are highly scalable, maintainable, and monitored
  • Optimize cloud services for security, cost and performance

Requirements For Data Engineer

Python
  • Degree in Computer Science, Software Engineering, or related discipline
  • Strong proficiency with SQL and its variations amongst popular databases
  • Strong knowledge of developing and maintaining API services in a cloud environment
  • Strong object and service-oriented programming skills in Python
  • Knowledge of modern containerization techniques - Docker, Docker Compose
  • Experience with relational and unstructured databases and data lakes
  • Understanding of business goals and how data policies can affect them
  • Effective communication and collaboration skills
  • Strong understanding of concepts associated with privacy and data security

Benefits For Data Engineer

Dental Insurance
Medical Insurance
  • Annual salary increase review
  • End of the year bonus (Christmas bonus)
  • Employee Stock Purchase Plan (ESPP)
  • 15 days vacation per year
  • Paid day off for birthday
  • Health Insurance
  • Oncological Insurance
  • Dental Insurance
  • Life Insurance
  • No fee when using RIA service/wire transfers

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