You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you.
Join an agile team that design and deliver front office time-series software solutions for Data, Analytics, and Workflow Automation for the Credit Trading Business
As a KDB+ Software Engineer II at JPMorgan Chase, you are part of an agile team that works to enhance, design, and deliver the time-series software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.
Job responsibilities
Manage Data: Handling large volumes of time-series data, ensuring data integrity, and optimizing data storage.Develop Queries: Writing and optimizing queries in Q, the programming language used with KDB+, to extract and manipulate data efficiently.Maintain Systems: Assisting in the maintenance and monitoring of KDB+ systems to ensure high availability and performance.Analyze Data: Collaborating with analysts and other stakeholders to provide insights and support decision-making processes.Troubleshooting: Identifying and resolving issues related to data processing and system performance.Document: Maintaining clear documentation of processes, queries, and system configurations.Required qualifications, capabilities, and skills
Formal training or certification on Q language concepts and expanding applied experienceProficiency in Q: Strong understanding of the Q language and its application in querying and data manipulation.Database Knowledge: Familiarity with database concepts, particularly those related to time-series data.Problem-Solving: Ability to troubleshoot and resolve technical issues efficiently.Analytical Skills: Strong analytical skills to interpret data and provide actionable insights.Communication: Good communication skills to work effectively with team members and stakeholders.Attention to Detail: High attention to detail to ensure data accuracy and system reliability.