JPMorgan Software Engineer III -Java Spark ETL 

United States, Texas, Houston 

720121511

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.
• Produces architecture and design artifacts for complex applications.
• Proactively identifies hidden problems, 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.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years of applied experience
• Hands-on of Java & Spark experience in ETL domain.
• Strong knowledge of Spring framework, REST API, Design Patterns, Event driven design principles and Database Queries.
• Hands on experience building microservices , and cloud-native application development experience on AWS (Step functions, Dynamo DB Lambda, S3, RDS Aurora, EC2)
• Hands-on practical experience in system design, application development, testing, and operational stability
• Experience in developing, debugging, Reverse Engineering, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Primary skills will be Java, Spark, REST API’s, AWS cloud tech stack (S3, ECS/EKS, DyanmoDb, step functions, Lambda), Teraform
• Big Data engineering and processing, data lakes, and data warehouse patterns

Preferred qualifications, capabilities, and skills

• Familiarity with modern front-end technologies
• Familiar with Databricks is highly desirable, AWS Data Lake formation would be beneficial (if not hands on with Databricks)
• Exposure to data lake and data engineering products