We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorgan Chase within Commercial and Invetment Bank 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

Support review of controls to ensure sufficient protection of enterprise data Advise and makes custom configuration changes in one to two tools to generate a product at the business or customer request Update logical or physical data models based on new use case Use SQL and understands NoSQL databases and their niche in the marketplace Analyze, design, develop and drive performance enhancements, you will focus on significantly increasing default ingestion speeds to meet the substantial data demands, ensuring our systems operate at peak efficiency. Implement automation, optimization, performance tuning and scaling techniques to ensure efficient pipeline performance Handle new and complex challenges, continuously seeking innovative solutions to improve data processing and performance. Work closely with cross-functional teams, sharing insights and best practices, and mentoring other engineers to foster a culture of continuous learning and improvement.

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 3+ years of applied experience Proficiency in Databrick, AWS and PySpark for data processing and analytics Databricks Cluster configuration, Unity catalog repository configuration Strong programming skills in Python with experience in writing complex SQL queries Advanced at SQL (e.g., joins and aggregations, window functions) Experience in data engineering and Cloud architecture specifically with Databricks and AWS Proven experience and ability to migrate the Data load models developed on ETL framework to the multi node Databricks compute Good understanding of developing data warehouses, data marts, etc. Excellent problem-solving skills to be able to structure the right analytical solutions. Strong sense of teamwork, ownership, and accountability Understanding of system architectures, and design patterns and should be able to design and develop applications using these principles. Ability to work in a fast-paced environment with tight schedules.

Preferred qualifications, capabilities, and skills

Experience in Data modeling using modeling tools (Erwin) Working understanding of NoSQL databases Experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysis