JPMorgan Software Engineer III - Big Data 

United States, New Jersey, Jersey City 

67045574

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 data engineering concepts and 3+ years of applied experience
• Experience in one or more programming language(s), such as Python, Java
• Experience with SQL-based technologies (e.g., MySQL/ Oracle DB)
• Hands-on practical experience delivering data pipelines
• Proficient in all aspects of the Software Development Life Cycle
• Ability to develop reports, dashboards, and processes to continuously monitor data quality and integrity
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysis
• Strong experience with distributed computing frameworks such as Apache Spark, specifically PySpark
• Strong hands-on experience building event driven architecture using Kafka
• Hands-on experience building data pipelines on AWS using Lambda, SQS, SNS, Athena, Glue, EMR

Preferred qualifications, capabilities, and skills

• Familiarity with modern front-end technologies
• Exposure to cloud technologies
• Knowledge of bitbucket and JIRA
• Familiarity with writing Splunk or Cloudwatch queries, DataDog metrics