Senior Python Data and AI Engineer - Vice President

Citibank (Switzerland) AG; Pune District; On-site; Confidential; Full time

Job summary

Citi is seeking experienced engineers to design, develop, and maintain ETL processes that move data into our data warehouse. You will write complex SQL/PLSQL, build data pipelines in Python, and ensure data quality and performance at scale.

Collaboration with data analysts and cross-functional teams is essential to deliver reliable data solutions. The role emphasizes hands-on development, documentation, and adherence to best practices in AI-enabled data projects with modern tooling such as

Qualifications

• Hands-on ETL development with SQL/PLSQL and data warehousing experience.
• Strong Python programming for data pipelines and ML-ready workflows.
• Experience crafting scalable data solutions and quality checks.

Responsibilities

• Design, develop, and maintain ETL processes from diverse sources to data warehouse.
• Write complex SQL/PLSQL queries for data manipulation and validation.
• Build and optimize data pipelines using Python; ensure performance and scalability.
• Collaborate with analysts and stakeholders to translate data needs into solutions.
• Document ETL processes, pipelines, and database architectures.

Skills

ETL development

SQL/PLSQL

Python

Data pipelines

Data quality checks

Troubleshooting

API design

Docker

Teamwork

Communication

AI concepts

Tools

Oracle

MySQL

PostgreSQL

Git

CI/CD

OpenShift

Job description

Experience

At least 10+ years of hands-on application development experience. Design, develop, and maintain ETL processes to extract, transform, and load data from various sources into our data warehouse. Write complex SQL queries and PL/SQL scripts to perform data manipulation, validation, and transformation. Develop and maintain data pipelines using Python and related libraries (e.g., Polar ,Pandas). Optimize ETL processes and data pipelines for performance and scalability. Collaborate with data analysts and other stakeholders to understand data requirements and develop solutions to meet their needs. Implement data quality checks and monitoring to ensure data accuracy and consistency. Troubleshoot and resolve data-related issues. Create and maintain technical documentation for ETL processes, data pipelines, and database solutions. Stay up-to-date with the latest trends and technologies in data management and analytics.

Database Knowledge

Strong knowledge of databases such as Oracle/MY SQL/SQL.

Scripting

Strong knowledge of Python.

Problem-Solving

Excellent analytical and problem-solving skills.

Communication

Strong communication and interpersonal skills.

Teamwork

Ability to work effectively in a team environment.

Methodology of AI includes

Chunking, Embedding, AI Engineering, Prompt Engineering Deep hands-on experience in engineering and executing scalable enterprise solutions.

Expert-level proficiency in Python (e.g., FastAPI, Flask, PySpark)

Proficiency in database technologies, such as Oracle, Postgres, or MongoDB.

Solid understanding of core AI concepts, including knowledge representation, automated planning, decision-making under uncertainty, and multi-agent systems

Hands-on experience with relevant frameworks (e.g., Google ADK, LanGraph, LangChain, AutoGen, CrewAI, N8N).

Good to have experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and relevant libraries (e.g., Scikit-Learn, NumPy, Pandas)

Proven experience in creating, deploying, and integrating MCPs (Model Context Protocol) into agentic AI systems.

Deep familiarity with large language models (LLMs) such as ChatGPT, Claude, Gemini, and Llama, including its application within agentic systems

Demonstrated experience in designing and implementing robust APIs for AI services.

Proficient in software development best practices, including version control (Git), CI/CD pipelines, comprehensive testing, and code reviews

Strong understanding of agile methodologies, application resiliency, and security principles applied to complex AI projects.

Proven expertise in system design, application development, and ensuring operational stability for AI initiatives

Deep experience with application and data architecture patterns and designs.

Experience leveraging managed services and existing platforms, with a strong emphasis on API-First Design, microservices, and event-driven architectures

Hands-on experience with Docker and Openshift.

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. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.