JPMorgan Software Engineer III - Java / AWS ETL Big Data 

United States, Delaware, Wilmington 

623390105

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 3+ years applied experience
• Hands-on practical experience in system design, application development, testing, and operational stability
• Strong experience in developing, debugging, and maintaining code in a large corporate environment with Java
• Hands-on experience in one or more AWS services specifically ECS/EKS, Lambda, EMR, SNS, Step functions, storage services
• Experience with SQL and one or more programing languages - Java
• 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
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Preferred qualifications, capabilities, and skills

• Experience with large-scale data platforms like Snowflake, and/or Databricks
• Experience in Infrastructure as Code (Terraform) for Cloud based data infrastructure
• Understanding of data streaming and scalable data processing frameworks (Kafka, Spark Structured Streaming, etc.)