As a Software Engineer II - Big Data/Python at JPMorgan Chase, you will join the Capital reporting team building modern big data cloud solutions, using a microservice approach as we migrate from legacy applications, to a consolidated global architecture.

Job Responsibilities:

• Executes standard software solutions, design, development, and technical troubleshooting
• Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
• Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
• Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems
• Adds to team culture of diversity, equity, inclusion, and respect
• Contributes to team drive for continual improvement of development process and innovative solutions to meet business needs
• Applies appropriate dedication to support the business goals through technology solutions

Required Qualifications, Capabilities, and Skills:

• Hands-on practical experience in system design, application development, testing, and operational stability
• Demonstratable ability to code in one or more languages
• Experience across the whole Software Development Life Cycle
• Exposure to agile methodologies such as CI/CD, Applicant Resiliency, and Security
• Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Ability to work closely with stakeholders to define requirements
• Interacting with partners across feature teams to collaborate on reusable services to meet solution requirements

Preferred Qualifications, Capabilities, and Skills:

• Familiarity with modern front-end technologies
• Exposure to cloud technologies (AWS) and messaging services (Kafka)
• Experience with Python and Spark
• Experience of working in big data solutions with evidence of ability to analyse data to drive solutions