We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Software Engineer III at JPMorgan Chase within the Corporate Technology, you will play a pivotal role in developing, enhancing, and maintaining critical software applications using Python. You will collaborate within an agile team, applying your technical expertise to solve complex problems and deliver high-quality solutions. Your contributions will help shape our technology landscape and drive improvements across our systems. We foster a culture of inclusion, respect, and opportunity, where your growth and impact are valued.
Job responsibilities:
- Develops workflows, ELT pipelines using Pyspark, Databricks
- Execute software solutions, design, development, and technical troubleshooting to build innovative applications
- Create secure, high-quality production code and maintain efficient algorithms
- Produce architecture and design artifacts for complex applications, ensuring design constraints are met
- Gather, analyze, and synthesize data to develop visualizations and reporting for continuous improvement
- Identify hidden problems and patterns in data to drive enhancements in coding hygiene and system architecture
- Contribute to software engineering communities of practice and events focused on emerging technologies
- Add to a team culture of diversity, opportunity, inclusion, and respect
Required qualifications, capabilities, and skills:
- Good working knowledge of AWS , Databricks, PySpark
- Hands-on experience in system design, application development, testing, and operational stability
- Skilled in coding in one or more programming languages
- Experience developing, debugging, and maintaining code in large environments using modern programming and database querying languages
- Knowledge of the Software Development Life Cycle
- Understanding of agile methodologies, including CI/CD, application resiliency, and security
- Demonstrated knowledge of software applications and technical processes within disciplines such as cloud, artificial intelligence, machine learning, or mobile
Preferred qualifications, capabilities, and skills:
- Experience with Databricks or AWS S3
- Exposure to cloud technologies or distributed computing
