Data Engineer III
JPMorganChase · Bangalore · 5+ yrs experience · Posted 2026-06-02
Tech stack: AWS, Python
About the role
At JP Morgan Chase, we understand that customers seek exceptional value and a seamless experience from a trusted financial institution. That's why we launched Chase UK to transform digital banking with intuitive and enjoyable customer journeys. With a strong foundation of trust established by millions of customers in the US, we have been rapidly expanding our presence in the UK and soon across Europe. We have been building the bank of the future from the ground up, offering you the chance to join us and make a significant impact.
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.
Qualifications:
- Formal training or certification in Public Cloud engineering concepts and 5+ years of applied experience.
- Excellent programming skills, ideally in Python or another modern programming language.
- Understanding of Agile methodologies, Applicant Resiliency, and Security.
- Experience with Public Cloud services in Production (AWS or other).
- Hands-on experience with big data technologies (e.g. Redshift, EMR)
- Comprehensive understanding of modern data platforms, including data governance and observability.
- Self-starter capable of delivering production-ready solutions with minimal supervision.
- Solid theoretical fundamentals in a wide range of topics, which could include database internals, distributed systems, and design patterns.
- Strong experience with EMR
- Cloud Certifications including AWS Networking Specialty, AWS Developer Associate, AWS Solutions Architect Associate.
Qualifications
- Formal training or certification in Public Cloud engineering concepts and 5+ years of applied experience.
- Excellent programming skills, ideally in Python or another modern programming language.
- Understanding of Agile methodologies, Applicant Resiliency, and Security.
- Experience with Public Cloud services in Production (AWS or other).
- Hands-on experience with big data technologies (e.g. Redshift, EMR)
- Comprehensive understanding of modern data platforms, including data governance and observability.
- Self-starter capable of delivering production-ready solutions with minimal supervision.
- Solid theoretical fundamentals in a wide range of topics, which could include database internals, distributed systems, and design patterns.
- Strong experience with EMR
- Cloud Certifications including AWS Networking Specialty, AWS Developer Associate, AWS Solutions Architect Associate.
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.