JPMorgan Lead Data Engineer - Vice President Chase UK 

India, Karnataka, Bengaluru 

245592939

Job responsibilities

• Deliver end-to-end data pipeline solutions on cloud infrastructure leveraging the latest technologies and best industry practices.
• Use domain modeling techniques to build best-in-class business products.
• Structure software for easy understanding, testing, and evolution.
• Build solutions that avoid single points of failure using scalable architectural patterns.
• Develop secure code to protect our customers and ourselves from malicious actors.
• Promptly investigate and fix issues, ensuring they do not resurface.
• Ensure releases happen with zero downtime for end-users.
• Optimize data writing and reading for our needs.
• Monitor performance, identifying and solving problems effectively and ensure systems are reliable and easy to operate.
• Continuously update technologies and patterns.
• Support products through their entire lifecycle, including production and incident management.

Required qualifications, capabilities and skills

• Formal training or certification in data engineering concepts and applied experience.
• Recent hands-on professional experience as a data engineer.
• Experience coding in a recent version of Python.
• Experience designing and implementing effective tests (unit, component, integration, end-to-end, performance, etc.).
• Excellent written and verbal communication skills in English.
• Experience with cloud technologies and distributed systems.
• Experience with data transformation frameworks and data pipeline orchestration tools.
• Experience managing large volumes of data and optimizing data processing.
• Understanding of event-based architecture, data streaming, and messaging frameworks.
• Ability to coach team members on coding practices, design principles, and implementation patterns.
• Stakeholder management and effective prioritization across multiple work streams.

Preferred qualifications, capabilities and skills

• Experience in a highly regulated environment/industry.
• Experience with AWS cloud technologies.
• Experience with data governance frameworks.
• Understanding of incremental data processing and versioning.
• Understanding of RESTful APIs and web technologies.