oracle
Software Engineer III - Backend / Data Engineer - Java, Python, Databricks
JPMorgan Chase
London, GBR
Full-time
Mid
Onsite
Discovered 2 weeks ago
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Key Skills for This Role
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Full Job Posting
Job responsibilities
- Partners with product and design teams to build functionality that meets core business outcomes.
- Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
- Develops secure high-quality production code, and reviews and debugs code written by others.
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.
- Apply agile methodologies and use collaborative tools for effective teamwork and knowledge sharing.
- Implement and maintain unit and integration tests to ensure reliability and performance.
- Participate in code reviews to improve quality and share knowledge.
- Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies.
- Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
- Adds to team culture of diversity, opportunity, inclusion, and respect.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and applied experience in Core Java, J2EE, and Spring Boot with strong coding skills.
- Good working knowledge of AWS, Databricks and Python.
- Experience across the data lifecycle.
- Strong proficiency using Spring framework and understanding of inversion of control and dependency injection.
- Hands-on experience designing and implementing event-driven architectures with different message brokers, including Kafka.
- Experience creating RESTful microservices and handling asynchronous data.
- Experience integrating with both SQL Databases (Oracle) and No-SQL Databases (DynamoDB, MongoDB).
- Advanced at SQL, including joins and aggregations.
- Significant experience with statistical data analysis and ability to determine appropriate tools and data patterns for analysis.
- Experience with Maven/Gradle.
- Experience using version control with GitHub/Bitbucket.
- Experience with modern testing tools (JUnit, Mockito, Spring Test Framework, Cucumber)
- Hands-on practical experience delivering application development, testing, and operational stability.
- Understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
- Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
Preferred qualifications, capabilities, and skills
- Develop workflows and ELT pipelines using Python and Databricks.
- Familiarity with the Standardised data layer practices (Medallion architecture)
- Familiarity with modern backend technologies including Java 21+.
- Familiarity with Domain Driven Design as an approach to begin implementing system designs.
- Proficiency with AI code assistants for rapid prototyping and end delivery of Backend functionality.
- Experience with deploying Backend services to cloud providers (e.g. AWS, Google Cloud, Azure).
- Skills in designing efficient data models including normalization, denormalization, and schema design and an understanding around relational and star schemas
About JPMorgan Chase
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