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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.
Job Responsibility
Utilize knowledge of applications development procedures and concepts, and basic knowledge of other technical areas to identify and define necessary system enhancements, including using script tools and analyzing/interpreting code
Consult with users, clients, and other technology groups on issues, and recommend programming solutions, install, and support customer exposure systems
Apply fundamental knowledge of programming languages for design specifications
Analyze applications to identify vulnerabilities and security issues, as well as conduct testing and debugging
Serve as advisor or coach to new or lower level analysts
Identify problems, analyze information, and make evaluative judgements to recommend and implement solutions
Resolve issues by identifying and selecting solutions through the applications of acquired technical experience and guided by precedents
Has the ability to operate with a limited level of direct supervision
Can exercise independence of judgement and autonomy
Acts as SME to senior stakeholders and /or other team members
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
Requirements
2-5 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
Bachelor's degree/University degree or equivalent experience
5+ years of relevant experience as a data engineer
Data Pipelining & ETL: Expertise in designing and implementing scalable data pipelines using Python/Pyspark, with experience in ETL tools (e.g., Microsoft BI/SSIS, IBM DataStage etc.)
Database Management: Advanced proficiency (3+ years) in RDBMS (T-SQL/PL/SQL) and NoSQL (e.g., MongoDB)
Big Data Platforms: Extensive experience (3+ years) with Hadoop ecosystem technologies (e.g., HDFS, Hive, Pig, Sqoop), preferably Cloudera
Data Architecture & Modeling: Solid understanding of data warehousing, dimensional modeling, and 3NF to ensure scalable and performant data solutions
DevOps & Automation: Ability to implement CI/CD pipelines, use Git for version control, and leverage Docker/Kubernetes for containerization
Code Quality & Standards: Experience contributing to enforcing good coding standards and participating in code reviews to maintain high-quality codebases
Framework Contribution: Skill in contributing to the enhancement of existing data frameworks and evaluating new technologies for adoption
Job Orchestration: Proficiency in managing data workflows with enterprise scheduling tools (e.g., Autosys)
Data Connectivity & Visualization: Experience with secure data connectivity tools (e.g., Connect Direct, SSH Tectia) and data visualization platforms (e.g., Tableau)
AI-Driven Development: Capability to utilize AI tools (e.g., Devin) for efficient code refactoring and optimization
Experience in systems analysis and programming of software applications
Experience in managing and implementing successful projects
Working knowledge of consulting/project management techniques/methods
Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements