Data Engineer
hace 2 semanas
At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways.
**Responsibilities**
- Workflow Automation through Software Solutions: Architect and implement software solutions that automate data workflows, enhancing the efficiency and reliability of data processing and analysis tasks.
- Continuous Improvement of Data Infrastructure: Evaluate and improve the existing data infrastructure through the development of new APIs, plugins, and software solutions. Focus on scalability, performance optimization, and reducing system complexity.
**Skills**
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- 3+ years of experience in software development, with a strong focus on API development and system integration.
- Proficient in programming languages like Python, Java, or Scala, and familiar with API development standards (e.g., REST, GraphQL).
- Solid understanding of data structures, algorithms, and software architecture principles.
- Strong analytical and problem-solving skills, with the ability to work collaboratively across technical and non-technical teams.
Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.
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