Software Engineer II Python Big Data Spark

As a Software Engineer II at JPMorgan Chase within the Corporate Technology, you will be part of an agile team working to enhance, design, and deliver software components in a secure, stable, and scalable way. You will execute software solutions through 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. You will also contribute to the team culture of diversity, equity, inclusion, and respect. - 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 Qualifications Required: - Formal training or certification on software engineering concepts and 2+ years applied experience - Hands-on practical experience in system design, application development, testing, and operational stability - Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages - Proficient in coding in Java, Python, and Spark - Knowledge on Restful Microservices using Spring Boot or Python web framework - Build data pipelines using Bigdata, Spark - Hands-on experience on AWS - Experience across the whole Software Development Life Cycle - Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security - Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Additional Details: - Exposure to modern front-end technologies is preferred - Exposure to cloud technologies - Familiarity with terraform and containerization (Kubernetes/ECS),