Software Engineer III-Java/Python/Spark

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

As a Software Engineer IIIJava/Python/Spark at JPMorgan Chase within the Consumer and Community BankingData Delivery team you serve as a seasoned member of an agile team to design and deliver trusted marketleading 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

• Provides recommendations and insight on data management governance procedures and intricacies applicable to the acquisition maintenance validation and utilization of data
• Designs and delivers trusted data collection storage access and analytics data platform solutions in a secure stable and scalable way
• 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
• Creates secure and highquality production code and maintains algorithms that run synchronously with appropriate systems
• 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 equity inclusion and respect

Required qualifications capabilities and skills

• Formal training or certification on software engineering concepts and 3 years of applied experience
• Handson practical experience in system design application development testing and operational stability
• Proficient in coding in one or more languages including Java or Python
• Experience in developing debugging and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Demonstrated handson expertise with Apache Spark involving the development and optimization of largescale data processing applications implementing Spark SQL for querying structured data utilizing Spark Streaming for realtime data analytics and leveraging Sparks machine learning libraries to build predictive models ensuring high performance and scalability across distributed computing environments
• Acquired handson expertise with PySpark focusing on developing and optimizing largescale data processing applications using Python implementing Spark SQL for efficient querying and manipulation of structured data utilizing PySparks DataFrame API for seamless data transformation and leveraging PySparks machine learning libraries to build and deploy scalable predictive models
• Handson experience using Snowflake and Data Lakes
• Experienced in using Java Python or Scala for developing highperformance applications including building scalable backend systems implementing functional programming paradigms and integrating with Apache Spark for big data processing.
• Overall knowledge of the Software Development Life Cycle
• 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

• Familiarity with modern data engineering technologies
• Handson experience using Ab Initio for designing and implementing complex ETL processes optimizing data transformation workflows managing metadata and ensuring seamless integration with various data sources
• Handson experience with AWS cloud technologies
• Demonstrated ability to guide development teams through complex software projects and drive strategic initiatives