Software Engineer III AWS Python Spark/PySpark

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 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.

Job responsibilities

• Execute software solutions, design, development, and technical troubleshooting, thinking beyond routine approaches to build solutions or solve technical problems.
• Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems.
• Produce architecture and design artifacts for complex applications, ensuring design constraints are met by software code development.
• Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets to continuously improve software applications and systems.
• Proactively identify hidden problems and patterns in data, using insights to drive improvements in coding hygiene and system architecture.
• Contribute to software engineering communities of practice and events exploring new and emerging technologies.
• Add to team culture of diversity, equity, inclusion, and respect.

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• Formal training or certification in software engineering concepts with 3+ years of applied experience.
• Strong experience in big data technologies.
• Hands-on experience in system design, application development, testing, and operational stability.
• Proficient in coding, preferably in Python/PySpark.
• Experience with distributed computing frameworks like Apache Spark/PySpark.
• Strong SQL querying skills.
• Knowledge of AWS services: EMR, EC2, Lambda, S3; SQS,
• Experience in developing, debugging, and maintaining code in large corporate environments.
• Overall knowledge of the software development life cycle.
• Solid understanding of agile methodologies, including CI/CD, application resiliency, and security.
• Demonstrated knowledge of software applications and technical processes in areas like cloud, AI, and machine learning.

• Familiarity with Big data technologies
• Exposure to cloud technologies
• Scala, SNS, Athena, Glue are a plus.