Python PySpark Software Engineer II

Glasgow City
Full time
Posted
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JP Morgan
Banking, investment & finance
10,001+ employees
498 jobs
Apply on company site

You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you.

As a Python PySpark Software Engineer II at JPMorgan Chase within the Client Onboarding & Know Your Customer technology group, you are part of an agile team that works to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.

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