Data Engineer III - JAVA, AWS, Spark

As a Data Engineer III at JPMorgan Chase within the Consumer and community banking- JP wealth management, you serve as a seasoned member of an agile team to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You are responsible for developing, testing, and maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm’s business objectives.

 

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
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Required qualifications, capabilities, and skills

 

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Hands-on practical experience in system design, application development, testing, and operational stability
• Should have knowledge of PL/SQL, ORM (MyBatis/Hibernate) and basic Linux/UNIX
• Should have knowledge on basics of Spark and its architecture.
• Hands-on experience on Eclipse/IntelliJ, JUnits, Maven, BitBucket/GIT, and JIRA
• Should be an Agile Practitioner
• Good Problem Solving & Analytical skill
• Exposure to web services (Rest/Soap), concepts and implementation
• Amazon Web Services experience on Serverless architecture, building restful web applications.

 

Preferred qualifications, capabilities, and skills

 

• Proactively improve support services by building upon best practice and tools
• Awareness of industry standard SDLC processes for quality management
• Knowledge of software estimation techniques