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 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, equity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on Databricks and proficient advanced 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.