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JPMorgan Lead Software Engineer - Java / AWS ETL Big Data 
United States, Delaware, Wilmington 
86310500

22.09.2024

Job responsibilities

  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Develops secure high-quality production code, and reviews and debugs code written by others
  • Designs and delivers trusted data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable way
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  • Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
  • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge 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 5+ years applied experience
  • Hands-on professional experience (actively coding) working as a data engineer
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Experience with SQL and one or more programing languages - Java
  • Experience with large-scale data platforms like Snowflake, and/or Databricks
  • 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.)
  • In-depth knowledge of the financial services industry and their IT systems
  • Practical cloud native experience
Preferred qualifications, capabilities, and skills
  • Experience in Infrastructure as Code (Terraform) for Cloud based data infrastructure
  • Understanding of data streaming and scalable data processing frameworks (Kafka, Spark Structured Streaming, etc.)