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JPMorgan Software Engineer III - AWS Spark 
United States, Texas, Plano 
641520301

21.09.2024

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 in software engineering with 3+ years of practical experience.
  • Experience in system design, application development, testing, and operational stability.
  • Proficiency with distributed computing frameworks like Apache Spark, particularly Java/Spark.
  • Experience building data pipelines on AWS using Lambda, SQS, SNS, Athena, Glue, and EMR.
  • Knowledge of Data Lake Architecture.
  • Proficient in coding, preferably in Java.
  • Experience in developing, debugging, and maintaining code in a corporate environment.
  • Experience writing SQL queries.

Understanding of the Software Development Life Cycle and agile methodologies like CI/CD, Applicant Resiliency, and Security

Preferred qualifications, capabilities, and skills

  • Experience with event-driven architecture using Kafka.
  • Proficiency in writing queries for Splunk or Cloudwatch, and DataDog metrics.
  • Experience with ETL tools such as Abinitio, Informatica, SSIS, etc.
  • Knowledge of software applications and technical processes in areas like cloud, AI, machine learning, and mobile.