Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.

  As a Data Engineer III at JPMorgan Chase within the Consumer & Community Banking Team, 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 Supports review of controls to ensure sufficient protection of enterprise data Advises and makes 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 Frequently uses SQL and understands NoSQL databases and their niche in the marketplace Adds to team culture of diversity, equity, inclusion, and respect Contributes to software and data engineering communities of practice and events that explore new and emerging technologies Gathers, 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 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
  Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Experience designing and building REST API services using Java Exposure to cloud technologies - knowledge on Hybrid cloud architectures is highly desirable. AWS Developer/Solutions Architect Certification is highly desired