JPMorgan Data Software Engineer III - Python Spark & AWS 

United Kingdom, Scotland 

404078661

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 and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gathers, analyzes, 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 and applied experience
• Hands-on practical experience in system design, application development, testing, and operational stability
• Development experience in Java and/or Python
• Experience working with any tool (terraform) to provision AWS cloud services
• Experience of AWS Glue, AWS Athena & AWS S3
• Knowledge of Apache Parquet & open table formats such as Delta, Iceberg & Hudi
• Test Driven Development experience in using JUnit, Mojito or similar
• Extensive knowledge and work experience with distributed system and massively parallel processing
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Overall knowledge of the Software Development Life Cycle

Preferred qualifications, capabilities, and skills

• Experience with big data technologies
• Knowledge in working with Databricks, Iceberg
• Familiarity with message bus technologies such as Kafka or AMPS and query engines such as AWS Athena & Redshift
• Knowledge with AWS Lake Formation
• Working knowledge of AWS Glue, AWS Athena & AWS S3
• Experience in financial industry