Skill Set :

1. Proficiency in one or more modern programming languages (Python, Java, JS, Groovy, C, C++, Go).
2. Sound knowledge in Oracle PL/SQL, SQL.
3. Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
4. Good knowledge on AWS and big data technologies.
5. Deeply passionate about learning and innovating using the latest and greatest in big data engineering, cloud.
6. Familiarity with modern front-end technologies and exposure to cloud technologies.
7. Excellent understanding of development concepts and SDLC methodologies.
8. Hands on experience in interpreting Active session history to understand database bottlenecks to solve complex database performance issues.
9. Excellent verbal and written communication skills.
   
   
   

As a Software Engineer III at JPMorgan Chase within Risk Technology, 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

1. 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
2. Identify, analyze, and interpret trends or patterns in complex data sets
3. Innovate new ways of managing, sourcing, transforming and validating data
4. Establish and enforce guidelines to ensure consistency, quality and completeness of data assets
5. Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
6. Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
7. Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
8. Adds to team culture of diversity, equity, inclusion, and respect