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 Senior Programmer Analyst is a senior-level position responsible for leading the design, development, and implementation of cutting-edge data solutions in coordination with various technology and business teams. The overall objective of this role is to build and maintain scalable, high-performance data pipelines and platforms that are central to the firm's data strategy.
Job Responsibility:
Utilize expert knowledge of data engineering principles, big data technologies, and software development best practices to design and implement robust data solutions
Collaborate with business stakeholders, data scientists, and other technology teams to understand data requirements and deliver effective solutions
Apply deep expertise in programming languages like Python and Java for building high-performance data processing applications
Ensure data solutions are secure, scalable, and adhere to the firm's security and architectural standards
Mentor and guide junior engineers, fostering a culture of technical excellence and continuous learning
Lead the analysis of complex data-related issues, identify root causes, and implement sustainable solutions
Operate with a high degree of autonomy and independence, exercising sound judgment and decision-making
Act as a Subject Matter Expert (SME) in big data technologies for senior stakeholders and 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:
7-10 years of relevant experience in Data Engineering or a similar role, preferably within the Financial Services industry
Senior-level experience in an Applications Development or Data Engineering 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
Hands-on expertise in Java (8+), Spring Boot, Python, and PySpark for building high-performance data applications
Extensive experience with the BigData ecosystem, including Apache Spark for large-scale data processing
Solid understanding of Data Warehouse concepts, design principles, and best practices
Strong proficiency with both relational SQL databases and NoSQL databases (e.g., MongoDB, Couchbase)
Proven experience with event-driven architectures and messaging systems, particularly Apache Kafka
Experience with in-memory Caching technologies such as Redis or Couchbase to improve application performance
Good knowledge of RESTful/GraphQL architecture, security, and containerization (Docker/Kubernetes)
Experience working closely with other technology teams to define and deliver integrated solutions
A track record of defining and evolving architectural standards and promoting adherence to these standards