Software Engineer III - Databricks and PySpark Developer

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

As a Software Engineer III - Databricks and PySpark Developer at JPMorgan Chase within Commercial and Investment Banking, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way.

You are responsible for carrying out critical technology solutions 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


* Support review of controls to ensure sufficient protection of enterprise data and 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 and 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


* 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


* Adds to team culture of diversity, opportunity, inclusion, and respect

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 and 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 develo...