Description As a Software Engineer III at JPMorgan Chase within the Global Banking, Data, Analytics & Technology division, you will play a crucial role in an agile team, focusing on the design and delivery of cutting-edge technology products that emphasize security, stability, and scalability. Your responsibilities include developing key technology solutions across various technical areas, thereby improving business operations and supporting the firm's strategic 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 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 Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on Databricks concepts and proficient applied experience Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced 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 oversight Experience performing data analytics on AWS platforms Experience 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 issues Experience 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 preferable Understanding 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 plus Financial Services and Commercial and Investment Banking experience is a plus Familiarity with NoSQL database platforms(DynamoDB, Cassandra) is a plus Familiarity with relational database environment (Oracle, SQL Server, etc.) leveraging databases, tables/views, stored procedures, agent jobs, etc.