JPMorgan Python PySpark Software Engineer II 

United Kingdom, Scotland 

208942044

Job responsibilities

• Executes standard software solutions, design, development, and technical troubleshooting
• Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
• Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
• Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
• Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity
• Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
• Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems
• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and proficient applied experience.
• Hands-on practical experience in system design, application development, testing, operational stability and data pipelines for moving/transforming data.
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Demonstrable ability to code in one or more languages such as Pyhton
• Experience across the whole Software Development Life Cycle
• Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security
• Experience in PySpark, analysis, building and tuning pipelines, feature engineering on AWS Data Platform.
• Demonstrable advance level of experience with data manipulation libraries (NUMPY, PANDAS)
• Advanced SQL (e.g., joins, aggregations, tuning) and NoSQL databases experience with ETL- processing real-time data.

Preferred qualifications, capabilities, and skills

• Good to have exposure of Databricks