Software Engineer III - AWM Data AWS, Python
JP Morgan
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 Asset & Wealth Management, 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 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
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 7+ years applied experience Proficient in coding in Python language Demonstrated hands-on experience with ETL pipelines and SQL-related technologies Hands on experience with AWS data technologies such as ECS, EMR, Glue, Step functions, Lambda, DynamoDB, Athena or SNS/SQS Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced in one or more programming language(s) preferably Java Proficiency in automation and continuous delivery methods Proficient in all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
Preferred qualifications, capabilities, and skills
Exposure to Data Lake, Data Warehouses, Data Mesh. Exposure to Snowflake/Starburst, Kafka, Apache Spark, Apache Kafka, Apache Iceberg or equivalent open table format through hands-on experience. Exposure to Terraform
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