JPMorgan Python Data Software Engineer II 

United Kingdom, Scotland 

426337470

As a member of our Software Engineering Group, you will dive head-first into creating innovative solutions that advance businesses and careers. Yous being developed. Coming in with an understanding of the importance of end-to-end software development-such as Agile frameworks-is key. And best of all, you

Job Responsibilities:

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems.
• Produces architecture, design artifacts and documentation for complex applications while being accountable for ensuring design constraints are met by software code development.
• Gathers, analyses, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems.
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture.
• Contributes to software engineering communities of practice and events that explore new and emerging technologies.
• Adds to team culture of diversity, equity, inclusion, and respect.

Required qualifications, capabilities, and skills:

• Formal training or certification on software engineering concepts.
• Solid understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security.
• Hands-on practical experience in system design, application development, testing, and operational stability, particularly data pipelines for moving/transforming data.
• Demonstrable experience with Python and associated data manipulation libraries.
• Advanced SQL (e.g., joins, aggregations, tuning).
• Working understanding of NoSQL databases.
• Significant experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysis.
• Hands-on experience in building and maintaining Big Data systems.
• Hands-on experience with cloud computing, particularly AWS.
• Experience with ETL and processing real-time data.

Preferred qualifications, capabilities, and skills:

• Hands-on experience of Databricks.
• AWS Data Platform Experience.
• Team player, comfortable working in a fast-paced environment.
• Excellent problem solving skills and ability to work with tight deadlines.
• Organization skills, be able to prioritize task based on priority level.