Data Engineer
Description For Data Engineer
XE, a part of Euronet Worldwide (Nasdaq: EEFT), is a leading provider of currency services, serving nearly 300 million people annually with currency information and facilitating international money transfers for over 150,000 customers. The company is seeking a Data Engineer to join their Data Science team, working with a sophisticated cloud data architecture and handling data from 280 million annual visitors across web and app properties.
The role combines the excitement of working with raw data and transforming it into meaningful insights with the challenge of maintaining an enterprise-grade events-based Martech stack. The position offers the freedom to explore data passions and connect various data sources to create business insights and drive product improvement.
As a Data Engineer, you'll be responsible for developing API services, managing ETL pipelines, maintaining data lakes, and collaborating with data scientists. The ideal candidate should have strong programming skills in Python, experience with SQL and cloud environments, and knowledge of containerization techniques.
The company offers an attractive benefits package including annual salary reviews, bonuses, stock purchase plans, generous vacation time, and comprehensive insurance coverage. Working at XE means being part of a team that believes in the importance of every currency transaction and strives to develop better services that put customers first.
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
- 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
- Annual salary increase review
- End of the year bonus (Christmas bonus)
- ESPP (Employee Stock Purchase Plan)
- 30 days vacation per year
- Insurance guaranteed for employees (Health, Oncological, Dental, Life Insurance)
- No fee when using RIA service/wire transfers
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