Ml & Data Engineer

hace 3 semanas

Santiago de Chile Ria A tiempo completo

Ria Money Transfer, a business segment of Euronet Worldwide, Inc. (NASDAQ: EEFT), delivers innovative financial services including fast, secure, and affordable global money transfers to millions of customers along with currency exchange, mobile top-up, bill payment and check cashing services, offering a reliable omnichannel experience. With over 490,000 locations in 160+ countries around the world we believe we can create a world in which people are empowered to build the life they dream of, no matter who they are or where they are. One customer, one family, one community at a time.

If you are easily excited by raw data and the boundless potential to transform it into useful shapes and forms, this is your dream job. Couple that with a **best-in-class cloud data architecture **, and you are really off to the races. You will be supporting a data ecosystem that is fueled by 280 million annual visitors to our web and app properties. Combine this with an **enterprise-grade events-based Martech stack **and the opportunities really are limitless. This role will give you the **unbridled freedom **to explore your data passions to connect disparate data sources together to create meaningful business insights and drive rapid product improvement and growth. If you're also an **API guru **, then we want you...now.
- 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**
- Optimize cloud servicesfor **security, cost and performance**
- 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 to write efficient, scalable code
- Knowledge of modern containerization techniques - Docker, Docker Compose
- Experience with relational and unstructured databases and data lakes
- An understanding of business goals and how data policies can affect them
- Effective communication and collaboration skills
- A strong understanding of the concepts associated with privacy and data security
- A strong interest in data and the insights it can provide to better serve our customers

**Benefits & Perks**

1. Annual salary increase review

2. End of the year bonus (Christmas bonus)

3. ESPP (Employee Stock Purchase Plan)

4. Paid day off for birthday

5. 15 day vacation per year

6. Insurance guaranteed for employees ( Health, Oncological, Dental, Life Insurance)

7. No fee when using RIA service/wire transfers

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