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 the Global Banking, Data, Analytics & Technology division,, 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 problemsCreates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systemsProduces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code developmentGathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systemsProactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architectureContributes to software engineering communities of practice and events that explore new and emerging technologiesAdds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

Formal training or certification on Databricks and proficient advanced experienceHands-on practical experience delivering system design, application development, testing, and operational stabilityAdvanced in one or more programming language(s), Python is required Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)Ability to tackle design and functionality problems independently with little to no oversightExperience performing data analytics on AWS platformsExperience in writing efficient SQL's, implementing complex ETL transformations on big data platform.Experience in a Big Data technologies (Spark, Impala, Hive, Redshift, Kafka, etc.)Experience in data quality testing; adept at writing test cases and scripts, presenting and resolving data issuesExperience with Databricks, Snowflake, Iceberg  are required 

Preferred qualifications, capabilities, and skills

Experience in application and data design disciplines with an emphasis on real-time processing and delivery e.g. Kafka is preferableUnderstanding of the Commercial & Investment Bank business will be useful.Proficiency across the full range of database and business intelligence tools; publishing and presenting information in an engaging way is a plusFinancial Services and Commercial and Investment Banking experience is a plusFamiliarity with NoSQL database platforms(DynamoDB, Cassandra) is a plusFamiliarity with relational database environment (Oracle, SQL Server, etc.) leveraging databases, tables/views, stored procedures, agent jobs, etc.