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 firms 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 developed on ETL framework to the multi node Databricks compute
• Understanding of system architectures and design patterns and should be able to design and develop applications using these principles.
• Hands-on practical experience in system design application development testing and operational stability
• 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
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g. cloud artificial intelligence machine learning mobile etc.)

Preferred qualifications capabilities and skills

• Experience in Data modeling
• Experience in AI/ML models
• Working understanding of NoSQL databases
• Experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysis
• Excellent problem-solving skills to be able to structure the right analytical solutions and have a strong sense of teamwork ownership and accountability
• Ability to work in a fast-paced environment with tight schedules
• Strong understanding of developing data warehouses data marts etc.