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JPMorgan Software Engineer III - Data Python AWS Snowflake 
United States, Texas, Plano 
353527186

27.07.2024

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