AWS Software Engineer III - Python/Data Pipeline

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

As an AWS Software Engineer III - Python/Data Pipeline at JPMorgan Chase within the Corporate Investment Banking Payments Technology 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 problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produce architecture and design artifacts for complex data platforms and pipelines, ensuring design constraints are met throughout software code development
• Build and maintain end-to-end data pipelines, including ingestion, transformation, quality, and reliability
• Enables downstream analytics and BI consumers through well designed pipelines
• 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, opportunity, 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
• Experience in developing, debugging, and maintaining code in a large corporate environment, with extensive experience in Python as the primary development language, and database querying languages
• Hands-on practical experience working in cloud technologies
• 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.)
• Demonstrate production-grade data engineering expertise with databases and data pipelines, including SQL, schema design, and end-to-end data flows
• Experience building BI solution on top of those pipelines, including dash boarding, as well as  underlying data engineering work required to feed tools like ThoughtSpot

Preferred qualifications, capabilities, and skills

• Familiarity with modern front-end technologies
• Exposure to AWS cloud technologies and frameworks
• Strong experience in one or more programming languages (e.g., Java, Python, C#, JavaScript/TypeScript).
• Agile best practices, methodologies and Project Management experience
• Familiarity with modern frameworks and libraries relevant to the team’s tech stack.