Data Engineer/ Python Developer

The Applications Development Intermediate Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities.
Responsibilities:

- Implement scalable, efficient, and maintainable solutions using Python and relevant AI/ML frameworks.
- Design, develop, and maintain Python/Flask or FAST-based APIs.
- Work with MongoDB and PostgreSQL for database design and optimization.
- Build and deploy applications using Docker, Kubernetes, and OpenShift.
- Set up and maintain CI/CD pipelines using Jenkins, SonarQube, and Git.
- Collaborate on the development of Airflow-based data pipelines (desirable).
- Perform root cause analysis on data and processes to identify opportunities for improvement.
- Work with unstructured datasets and implement scalable solutions for data processing.
- Implement message queuing, stream processing, and scalable big data solutions.

Qualifications:

• 2-4 years of relevant experience in the Financial Service industry
• Intermediate level experience in Applications Development role
• Consistently demonstrates clear and concise written and verbal communication
• Demonstrated problem-solving and decision-making skills
• Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements

Education:

• Bachelor’s degree/University degree or equivalent experience

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

**Required Skills:**
- 7-10 years of overall experience in software development.
- Minimum 3 years of hands-on experience with Python, Flask APIs, and MongoDB.
- Minimum 2 years of experience with Docker, Kubernetes, and OpenShift.
- Minimum 2 years of experience in CI/CD pipeline setup with Jenkins, SonarQube, and Git.
- Minimum 2 years of experience with Kafka or other message queuing systems.
- Strong analytical skills for working with unstructured datasets.
- Strong project management and organizational skills.
 
 
**Good to Have:**
- Experience with AI models and machine learning.
- Working knowledge of AWS cloud services.
- Familiarity with Airflow-based data pipelines.

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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

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