It's fun to work in a company where people truly BELIEVE in what they're doing!
 

We're committed to bringing passion and customer focus to the business.

Kyriba is a global leader in liquidity performance that empowers CFOs, Treasurers and IT leaders to connect, protect, forecast and optimize their liquidity. As a secure and scalable SaaS solution, Kyriba brings intelligence and financial automation that enables companies and banks of all sizes to improve their financial performance and increase operational efficiency. Kyriba’s real-time data and AI-empowered tools empower its 3,000 customers worldwide to quantify exposures, project cash and liquidity, and take action to protect balance sheets, income statements and cash flows. Kyriba manages more than 3.5 billion bank transactions and $15 trillion in payments annually and gives customers complete visibility and actionability, so they can optimize and fully harness liquidity across the enterprise and outperform their business strategy. For more information, visit www.kyriba.com.

About the role: As a Software Engineer Intern on the Hub team at Kyriba, you will immerse yourself in a hands-on learning environment within a leading cloud-based enterprise liquidity management company. This internship will provide you with the opportunity to engage in real-world projects and gain experience with large-scale data operations. Your primary tasks will include collecting and generating data, as well as managing data flows into Amazon S3 and Databricks for analysis and processing. This role is designed to give you insight into Kyriba's innovative financial technology solutions and help you determine if this career path aligns with your goals.

Essential duties and responsibilities: 

Automated Data Import: Tune processes to automate data imports from the HUB. 

Amazon S3 Operations: Efficiently manage data transfers to and from Amazon S3. 

Databricks Integration: Integrate and ingest data into Databricks for further analysis and processing.

TBD

Education:

Must be enrolled in the final year of a Master's program in Engineering or a related field such as Computer Science, Network Engineering, or Mathematics.

Experience & Technical Skills:

Demonstrated ability to analyze and interpret data effectively.

Proven capability to collaborate efficiently in a team setting.

Familiarity with Amazon S3 or similar cloud storage platforms.

Experience with payments or statements files is highly desirable.

Soft Skills:

Strong analytical and problem-solving skills with meticulous attention to detail.

Excellent communication and teamwork abilities.

Openness to constructive feedback and a commitment to continuous improvement.

Ability to manage stress and time effectively, with strong organizational skills.

Creativity and a willingness to challenge current practices with new ideas.