Senior Software Engineer, Reference Data Platform (Python/Oracle) - AVP

Key Responsibilities

• Application & Pipeline Development: Design, code, test and implement robust backend services, ETL data pipelines and batch/real-time processing components for the Fusion platform using Python.
• Database Architecture & Optimization: Architect, optimize and maintain complex Oracle databases; write, tune and maintain advanced SQL queries, stored procedures, PL/SQL packages, triggers and views to handle large volumes of reference data efficiently.
• Master Reference Data Integration: Partner closely with business analysts, data stewards and upstream/downstream application teams to analyze reference data requirements and translate them into scalable technical implementations.
• System Performance & Scalability: Identify system bottlenecks, perform performance tuning across Python code and Oracle databases and implement partitioning, indexing and memory optimization strategies.
• Engineering Standards & Quality: Define and adhere to software development best practices, test-driven development (TDD), automated unit/integration testing and code review processes to maintain high code quality and reliability.
• CI/CD & DevOps Collaboration: Work with modern CI/CD pipelines to support automated builds, deployments and environment configuration management.
• Production Support & Risk Mitigation: Assist in tier-3 technical troubleshooting and root cause analysis for production incidents; ensure all implementations comply with Citi’s security, risk management and governance standards.
• Mentorship & Team Collaboration: Provide technical guidance and peer reviews to junior developers, actively participating in Agile/Scrum ceremonies and sprint planning.
• Required Qualifications & Skills
• Experience: 5–8 years of professional experience in software engineering and application development, with a proven track record of delivering enterprise-scale systems into production.
• Python Expertise: Strong hands-on proficiency in Python (3.x) for enterprise application development, data manipulation, object-oriented design and automated testing.
• Oracle & SQL Mastery: Advanced proficiency with Oracle Database (12c/19c+), including complex SQL query design, PL/SQL programming, schema design, index optimization, query execution plan analysis and database performance tuning.
• Data Modeling & ETL: Strong understanding of relational data modeling, Master Data Management (MDM) concepts, data normalization/denormalization and large-scale data ingestion and transformation pipelines.
• Development Practices: Practical experience with version control systems (Git), continuous integration/continuous deployment (CI/CD) pipelines and automated testing frameworks (e.g., pytest, unittest).
• Problem Solving & Communication: Excellent analytical, troubleshooting and problem-solving skills, with the ability to communicate technical concepts clearly to both technical peers and business stakeholders.
• Education: Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related field; or equivalent relevant work experience.
• Beneficial Skills & Qualifications
• Experience working within Financial Services, specifically with Master Reference Data, market data, instrument/counterparty reference data, or regulatory reporting systems.
• Experience with Python web frameworks and API design (FastAPI, Flask, or Django) for building internal data services and RESTful APIs.
• Familiarity with enterprise workload scheduling tools (e.g., Autosys, Airflow, Control-M) and enterprise messaging systems (e.g., Apache Kafka, IBM MQ).
• Familiarity with containerization technologies (Docker, OpenShift, Kubernetes) and cloud infrastructure concepts.
• Experience in Linux/Unix shell scripting and automated deployment automation.

What We Offer

• At Citi, you will work at the core of enterprise data management and financial services technology, contributing to critical platforms that operate at genuine global scale. This is an opportunity to take technical ownership, develop domain expertise in reference data systems and make a measurable impact within a collaborative, performance-focused engineering environment.
• Hybrid Working Arrangement: Hybrid model with 3 days in the office and 2 days working remotely, offering flexibility while staying connected with your team.
• Continuous Learning & Growth: Access to comprehensive technical training, certifications and career development programs.
• Enterprise Impact: The opportunity to build and scale core reference data solutions that underpin trading, risk, compliance and reporting across global Citi franchises.
• Comprehensive Wellbeing & Compensation: Competitive financial compensation and benefits packages designed for experienced technology professionals, along with global wellness resources.

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Qualifications

• 5–8 years of professional experience in software engineering and application development, with a proven track record of delivering enterprise-scale systems into production.
• Python Expertise: Strong hands-on proficiency in Python (3.x) for enterprise application development, data manipulation, object-oriented design and automated testing.
• Oracle & SQL Mastery: Advanced proficiency with Oracle Database (12c/19c+), including complex SQL query design, PL/SQL programming, schema design, index optimization, query execution plan analysis and database performance tuning.
• Data Modeling & ETL: Strong understanding of relational data modeling, Master Data Management (MDM) concepts, data normalization/denormalization and large-scale data ingestion and transformation pipelines.
• Development Practices: Practical experience with version control systems (Git), continuous integration/continuous deployment (CI/CD) pipelines and automated testing frameworks (e.g., pytest, unittest).
• Problem Solving & Communication: Excellent analytical, troubleshooting and problem-solving skills, with the ability to communicate technical concepts clearly to both technical peers and business stakeholders.
• Education: Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related field; or equivalent relevant work experience.
• Beneficial Skills & Qualifications
• Experience working within Financial Services, specifically with Master Reference Data, market data, instrument/counterparty reference data, or regulatory reporting systems.
• Experience with Python web frameworks and API design (FastAPI, Flask, or Django) for building internal data services and RESTful APIs.
• Familiarity with enterprise workload scheduling tools (e.g., Autosys, Airflow, Control-M) and enterprise messaging systems (e.g., Apache Kafka, IBM MQ).
• Familiarity with containerization technologies (Docker, OpenShift, Kubernetes) and cloud infrastructure concepts.
• Experience in Linux/Unix shell scripting and automated deployment automation.