You thrive on diversity and creativity, and we welcome individuals who share our vision of making a lasting impact. Your unique combination of design thinking and experience will help us achieve new heights.

 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

 

Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problemsSupports review of controls to ensure sufficient protection of enterprise dataAdvises and makes custom configuration changes in one to two tools to generate a product at the business or customer requestUpdates logical or physical data models based on new use casesFrequently uses SQL and understands NoSQL databases and their niche in the marketplaceAdds to team culture of diversity, equity, inclusion, and respectContributes to software and data engineering communities of practice and events that explore new and emerging technologiesGathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
 

Required qualifications, capabilities, and skills

 

Formal training or certification on Data Engineering concepts and 3+ years applied experience in AWS and KubernetesProficiency 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)Good at SQL (e.g., joins and aggregations)Working understanding of NoSQL databasesExperience 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 SecuritySignificant experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysisExperience customizing changes in a tool to generate product
 Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologiesExperience designing and building REST API services using JavaExposure to cloud technologies - knowledge on Hybrid cloud architectures is highly desirable.AWS Developer/Solutions Architect Certification is highly desired