Software Engineer III- Full stack Python, AWS, Glue

Role Overview: You have an exciting opportunity as a Software Engineer III at JPMorgan Chase within the Consumer and Community Banking - Wealth Management. In this role, you will be a crucial member of an agile team responsible for designing and delivering secure, stable, and scalable technology products to support various business functions and achieve strategic goals. Key Responsibilities: - Execute software solutions, design, development, and technical troubleshooting with innovative approaches to problem-solving. - Create secure and high-quality production code while maintaining algorithms that run synchronously with systems. - Produce architecture and design artifacts for complex applications, ensuring design constraints are met by software development. - Gather, analyze, synthesize, and develop visualizations and reporting from diverse data sets for continuous improvement of software applications. - Proactively identify hidden problems and patterns in data to drive improvements to coding hygiene and system architecture. - Contribute to software engineering communities and events exploring new technologies. - Foster a team culture of diversity, opportunity, inclusion, and respect. Qualifications Required: - Formal training or certification in software engineering concepts with a minimum of 3 years of applied experience. - Hands-on experience with AWS Glue including ETL jobs, crawlers, and workflows. - Proficiency in PySpark and distributed data processing. - Familiarity with AWS services such as S3, Lambda, Redshift, Athena, and Step Functions. - Experience integrating AI/ML models (SageMaker or custom models) into data pipelines. - Design, develop, and deploy ETL jobs using AWS Glue (PySpark and Python scripts). - Integrate AI/ML models into data pipelines for batch and real-time processing. - Develop and maintain data lakes and data warehouses on AWS (S3, Redshift, Athena). Additional Details (if any): - AWS Certification (e.g., AWS Certified Data Analytics, AWS Certified Machine Learning) is preferred. - Experience with containerization using Docker, ECS, and EKS. - Familiarity with DevOps practices and Infrastructure as Code (CloudFormation, Terraform). - Experience with data visualization tools like QuickSight and Tableau.,