JPMorgan Software Engineer III - Data 

United States, Ohio 

485494969

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure high-quality production code, and reviews and debugs code written by others
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Adds to team culture of diversity, equity, inclusion, and respect
• Design, develop and implement data pipelines collecting, transforming and storing data to solve complex business problems and enhance ML-driven applications
• Optimize data pipelines for performance and scalability leveraging cloud based resources
• Demonstrate self-promote and ability to continuously learn and stay updated with latest technology updates
• Troubleshoot and debug issues in production data pipelines
• Initiate and contribute to data strategy
• Be the technical liaison between business, product, data scientists and engineers
• Be a part of our innovation and transformation roadmap

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years of applied experience
• Hands-on experience with end-to-end data pipeline implementation on AWS, including data preparation, extraction, transformation loading, normalization, data lakes and data governance
• Solid experience with Python, SQL, CI/CD pipeline, Github, AWS or Azure or GCP required
• Proven track record in designing and building data models at scale on a cloud platform
• Self-driven and constantly seeking opportunities to improve data processes
• In-depth understanding of modern data architecture such as Data Lake, Data Warehouse, Lakehouse, and Data Mesh
• Good understanding of agile methodologies
• Excellent communication and presentation skills

Preferred qualifications, capabilities, and skills

• Knowledge of the financial services industry and their IT systems
• Practical AWS or Azure cloud native experience
• Experience in data streaming tools such as Kafka