Bring your Data Engineering skills to the next level and join the AIML Data Platforms Fusion Data Management Team. In this role as a Analytics Data Engineer Developer you will bring your experience with Python / Java / Spark knowledge to help the Securities Services business identify opportunities to improve efficiency, increase revenue, optimize the operating model and risk framework and create value added data driven Products for our Clients.  

As a Lead Software Engineer at JPMorgan Chase within Corporate AIML Data Platforms Fusion Data Management Team 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. In this role 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. In this role you will work closely with multiple teams including Product Development and Product Business users to develop applications within our AWS Analytics platform. In this role you will be hands-on performing the design and development of applications. You will also help formulate the analytics strategy and ensure cross-application data & logic consistency and optimization.

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 software engineering concepts and 5+ years applied experience. Excellent Python knowledge with experience with Web application frameworks such as Fast API Experience in building data pipelines using Python / Java / Pyspark Working knowledge in Python base rest API builds including Fast API Experience pipeline orchestration tools i.e Argo, Airflow etc. Strong database skills with a thorough understanding of databases and data modelling concepts. Solid understanding in Object oriented programming concepts and Design patterns. Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages. Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security; particularly around Docker image builds. 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 

Knowledge of table formats i.e Iceberg.  Knowledge of libraries i.e Polars, PyIceberg . Knowledge of languages like Rust is a plus. Working knowledge in AWS and relevant cloud tools like Glue, Lambda