Software Engineer II - Data Engineer

 

As a Data Engineer II at JPMorgan Chase within the Consumer & Community Banking Team, you are part of an agile team that works to enhance, design, and deliver the data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As an emerging member of a data engineering team, you execute data solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.

Job responsibilities

 

• Organizes, updates, and maintains gathered data that will aid in making the data actionable
• Demonstrates basic knowledge of the data system components to determine controls needed to ensure secure data access
• Be responsible for making custom configuration changes in one to two tools to generate a product at the business or customer request
• Updates logical or physical data models based on new use cases with minimal supervision
• Adds to team culture of diversity, equity, inclusion, and respect
• 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

 

Required qualifications, capabilities, and skills

 

• Formal training or certification on Data Engineering concepts and 3+ years applied experience in AWS and Kubernetes
• Proficiency in one or more large-scale data processing distributions such as JavaSpark/PySpark along with knowledge on Data Pipeline (DPL), Data Modeling, Data warehouse, Data Migration and so-on.
• Experience across the data lifecycle along with expertise with consuming data in any of: batch (file), near real-time (IBM MQ, Apache Kafka), streaming (AWS kinesis, MSK)
• Advanced at SQL (e.g., joins and aggregations)
• Working understanding of NoSQL databases
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages.
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Significant experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysis
• Experience customizing changes in a tool to generate product