Platform Software Engineer III- ETL / AWS/ Python / Pyspark

JPMorgan Chase • New York, NY

3d

About The Position

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 problems Designs, develops, and implements scalable data pipelines and ETL batches using Python/PySpark on AWS Uses 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 scale Stays up-to-date with emerging technologies and industry trends to drive innovation and continuous improvement Leverage AI coding assist tools to accelerate software development, testing and delivery Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems 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

Requirements

• 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 software development and data engineering, with demonstrable hands-on experience in Python and PySpark
• Proven experience with cloud platforms such as AWS, Azure, or Google Cloud
• Good understanding of data modeling, data architecture, ETL processes, and data warehousing concepts
• Experience or good knowledge of cloud native ETL platforms like Snowflake and/or Databricks
• Experience with big data technologies and services like AWS EMRs, Redshift, Lambda, S3
• Proven experience with efficient Cloud DevOps practices and CI/CD tools like Jenkins/Gitlab, for data engineering platforms
• Good knowledge of SQL and NoSQL databases, including performance tuning and optimization
• Experience with declarative infra provisioning tools like Terraform, Ansible or CloudFormation
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages

Nice To Haves

• 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

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
• Designs, develops, and implements scalable data pipelines and ETL batches using Python/PySpark on AWS
• Uses 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 scale
• Stays up-to-date with emerging technologies and industry trends to drive innovation and continuous improvement
• Leverage AI coding assist tools to accelerate software development, testing and delivery
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees