We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. 

As a Software Engineer III at JPMorgan Chase within the Corporate Sector Risk Decision Team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

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 problemsCreates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systemsProactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architectureContributes to software engineering communities of practice and events that explore new and emerging technologiesImplement ETL processes to extract, transform, and load data from various sources into our data warehouseMonitor and optimize AWS resources to ensure cost-effective and high-performance data processing.Develop and maintain Bash scripts for automating data processing tasks and system maintenance.Implement automated testing and deployment processes to ensure reliability and efficiencyAnalyze and optimize data processing performance to meet business needs and service level agreements (SLAs)Troubleshoot and resolve issues promptlyAdds 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 of applied experienceHands-on practical experience in system design, application development, testing, and operational stabilityDemonstrated experience as a Data Engineer or in a similar role, with a focus on big data technologiesDesign, develop, and optimize data pipelines using Spark and Python to process large volumes of data efficiently.Utilize AWS services (such as S3, EC2, Lambda, Athena, Kafka, EKS, SQS etc.) to build and manage cloud-based data infrastructureExperience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languagesOverall knowledge of the Software Development Life CycleSolid understanding of agile methodologies such as CI/CD, Application Resiliency, and SecurityStrong problem-solving abilities and keen attention to detail

Preferred qualifications, capabilities, and skills

Experience with other big data technologies such as Hadoop.AWS certification Experience with data warehousing solutions and ETL tools