DescriptionWe have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software Engineer, on the data engineering team at JPMorgan Chase within the Corporate Technology team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
- Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Prove experience creating logical and physical data models
- Develops secure high-quality production code, and reviews and debugs code written by others
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
- Manage building system designs for data pipelines geared towards analytics
- Manage business stakeholder, understanding key business requirements and creating system design would be required
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years of applied experience
- Prior experience working with Databricks Lakehouse architecture dealing with high volume relational data
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Proven ability to create Data Pipelines using Python libraries such as PySpark/Pandas/NumPy
- Experience with Modern Analytics tools such as Looker, Thoughtspot, Tableau, Quik Sense etc
- Proficiency in automation and continuous delivery methods
- Proficient in all aspects of the Software Development Life Cycle
- Advanced understanding of agile methodologies
- In-depth knowledge of the financial services industry and their IT systems
- Practical AWS cloud native experience
Preferred qualifications, capabilities, and skills
- Big data technologies such as Hive/Dremio/Impala
- Experience in AI particularly working with Large Language Models