JPMorgan Software Engineer III - Data Python AWS Snowflake 

United States, Texas, Plano 

353527186

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, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years of applied experience
• Hands-on practical experience in system design, application development, testing, and operational stability
• Proficient in coding in one or more languages Java 8+ and Python and strong debugging skills
• 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 and hands on experience in CI/CD, Application Resiliency, Security and deployments in AWS public cloud
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Having excellent knowledge of & experience with event driven, microservice, REST/API, cloud based architectures
• Hands-on experience with AWS Glue, AWS Athena, EMR, Lambda, and Step-functions with API Gateway, AWS ECS, AWS EKS, AWS Fargate, Kubernetes, AWS S3, AWS EC2, AWS Lake Formation
• Big data expertise in Apache Spark ETL, Snowflake
• Experience writing performant SQL code/stored procedures
• Experience with data visualization tools such as Tableau, Qlikview, Quicksight, etc.

Preferred qualifications, capabilities, and skills

• Strong AWS cloud experience and cloud certification
• Experience with Big data (Demonstrates knowledge of Py-Spark, Data Bricks
• Experience with reliability practices and observability tools such as CloudWatch, Prometheus, Datadog
• Hands-on working experience with Bitbucket, Terraform, Jenkins, Artifactory, DataDog, ServiceNow
• In-depth knowledge of the financial services industry and their IT systems including cloud native experience
• Hands-on working experience with testing, releasing, and CI/CD pipeline deployments in AWS public cloud