Discover your future at Citi:
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Job Overview:
Job Purpose:
Citi is launching a strategic Coding Workshop initiative aimed at identifying and nurturing top-tier AI engineering talent. The primary purpose

of this role is to engage with and contribute to this innovative program, which is designed to evaluate and showcase participants' technical

acumen, adaptability in new environments, and creative problem-solving skills. This initiative seeks to establish Citi as a leading employer in

the AI space, positioning the firm at the forefront of AI innovation and directly addressing critical talent acquisition objectives for high-potential

engineers.

Job Background/context:
Required
- Data Engineering: Apache Spark / PySpark, Python, Pandas
- Data Sources: S3 (data lake), PostgreSQL (database)
- Schema Validation:



Pydantic or custom Python validators
- Interactive Visualization: SQL or Jupyter Notebook

Optional
- Version Control: Git, GitHub
- Infrastructure: Terraform
- Deployment Mode: Shell Scripts
- Deployment Target: AWS Serverless (e.g., S3, RDS, Glue, SageMaker Unified Studio)

Key Responsibilities:
systems.
- Learn and adapt to new technologies and unfamiliar environments quickly.
- Collaborate with team members to solve complex problems and deliver innovative solutions.
- Work collaboratively within an engineering team to develop creative solutions.
- Solve complex technical problems and contribute to the continuous improvement of systems.
- Innovate and contribute fresh perspectives to ongoing projects and initiatives.

Be mentored by experienced engineers, gaining valuable guidance and support to grow professionally and succeed in your

role.
- Collaborate with team members to solve complex problems and

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