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

As a Platform Software Engineer III- ETL / AWS / Python / Pyspark 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 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 problemsDesigns, develops, and implements scalable data pipelines and ETL batches using Python/PySpark on AWSUses infrastructure as code tools to build applications to orchestrate and monitor data pipelines, create and manage on-demand compute resources on cloud programmatically, and create frameworks to ingest and distribute data at scaleStays up-to-date with emerging technologies and industry trends to drive innovation and continuous improvementLeverage AI coding assist tools to accelerate software development, testing and deliveryCreates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systemsProduces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code developmentGathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systemsProactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architectureContributes to software engineering communities of practice and events that explore new and emerging technologiesAdds 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 stabilityExperience in software development and data engineering, with demonstrable hands-on experience in Python and PySparkProven experience with cloud platforms such as AWS, Azure, or Google CloudGood understanding of data modeling, data architecture, ETL processes, and data warehousing conceptsExperience or good knowledge of cloud native ETL platforms like Snowflake and/or DatabricksExperience with big data technologies and services like AWS EMRs, Redshift, Lambda, S3Proven experience with efficient Cloud DevOps practices and CI/CD tools like Jenkins/Gitlab, for data engineering platformsGood knowledge of SQL and NoSQL databases, including performance tuning and optimizationExperience with declarative infra provisioning tools like Terraform, Ansible or CloudFormationExperience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages

 

 

Preferred qualifications, capabilities, and skills

 

Knowledge of machine learning model lifecycle, AI coding assist tools, and cloud-native MLOps pipelines and frameworks Familiarity with data visualization tools and data integration patterns