This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
The Applications Development Technology Senior Lead Analyst is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology Team. The overall objective of this role is to lead applications systems analysis and programming activities.
Job Responsibility
Lead integration of functions to meet goals, deploy new products, and enhance processes
Analyze complex business processes, system processes, and industry standards to define and develop solutions to high level problems
Provide expertise in area of advanced knowledge of applications programming and plan assignments involving large budgets, cross functional project, or multiple projects
Develop application methodologies and standards for program analysis, design, coding, testing, debugging, and implementation
Utilize advanced knowledge of supported main system flows and comprehensive knowledge of multiple areas to achieve technology goals
Consult with end users to identify system function specifications and incorporate into overall system design
Allocate work, and act as an advisor/coach developers, analysts, and new team members
Influence and negotiate with senior leaders and communicate with external parties
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency
Design & Development: Create and optimize scalable ETL (Extraction, Transformation, Loading) pipelines using PySpark for massive datasets
Coding & Engineering: Write clean, efficient, well-documented code primarily in Python (PySpark) often leveraging frameworks/tools
Collaboration: Work with cross-functional teams (senior developers, data engineers, analysts, business partners) to understand data requirements and ensure seamless solution integration
Troubleshooting & Optimization: Debug and resolve data processing issues and performance bottlenecks in Spark applications and other big data technologies
Full SDLC Involvement: Participate in the entire software development lifecycle, from requirements analysis and design to testing, deployment, and operations
Data Integrity: Ensure high data quality and integrity throughout the data lifecycle
Requirements
10+ years of relevant experience
Experience in implementing projects
Experience in systems analysis and programming of software applications
Demonstrated Subject Matter Expert (SME) in area(s) of Applications Development
Demonstrated knowledge of client core business functions
Demonstrated leadership, project management, and development skills
Relationship and consensus building skills
10-12 years of experience in developing and managing Enterprise Applications
Core Java, Spring Hibernate and related skills
Solid foundation in OOP concepts
Good exposure to SQL Server and ORACLE databases
Experience with query writing for data validation/manipulation
Proficient in Shell Scripting and experience with job scheduling tools like Autosys
Some exposure to BI tools, specifically Tableau
Proficient with Git
experience with JIRA, Confluence
Familiarity with DevOps and CI/CD pipelines
Bachelor's degree/University degree or equivalent experience