Software Engineer III- Python, PySpark, ETL, AWS

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

As a Software Engineer III- Python PySpark ETL AWS at JPMorganChase within the Asset and Wealth Management Technology team you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology solutions in the business intelligence AI and reporting space 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 firms 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

• Develops secure high-quality production code to build unified data model business intelligence reporting and AI/ML solutions to ensure seamless integration into business workflows.
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• 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 in software engineering concepts with 3 years of applied experience
• Hands-on practical experience in system design application development testing and operational stability
• Extensive hands-onPythonandPySparkexperience
• Experience with majorcloud platforms(AWS/Azure/GCP) and big-data services ( EMR Redshift Lambda S3)
• Experience developing multi model LLM systemsGenAI tools ML Model lifecycle AI coding assist tools and cloud-native ML Ops pipelines and frameworks
• Familiar with Python-based ML libraries (e.g. Scikit-learn PyTorch TensorFlow) and ability to work with data scientists to operationalize models
• Proficiency withDevOps/CI/CD( plus strongSQL/NoSQLskills includingperformance tuning/optimization
• Experience in developing debugging and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• 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.)

Preferred qualifications capabilities and skills

• Familiarity with data visualization tools and data integration patterns
• Experience withcloud lake house platforms likeSnowflakeand/orDatabricks
• In-depth knowledge of the financial services industry and their IT systems
• Experience with declarative infra provisioning tools like Terraform Ansible or CloudFormation