Lead Software Engineer - Python / Spark Big Data

Job Description

Join our dynamic team as a Lead Software Engineer, where you will have the opportunity to solve complex problems and contribute to our innovative projects. With us, you can enhance your skills in Python, PySpark, and cloud architecture, while working in an inclusive and respectful team environment. This role offers immense growth potential and a chance to work with cutting-edge technologies.

As a Sr. Lead Software Engineer- Python / Spark Big Data at JPMorgan Chase within the Capital Reporting product, you will be executing software solutions, designing, developing, and troubleshooting technical issues. We value diversity, equity, inclusion, and respect in our team culture. This role provides an opportunity to contribute to software engineering communities of practice and events that explore new and emerging technologies. You will have the chance to proactively identify hidden problems and patterns in data and use these insights to promote improvements to coding hygiene and system architecture.

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
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• 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 Python PySpark concepts and 5+ years applied experience
• Demonstrated knowledge of software applications and technical processes within a cloud or microservices architecture.
• Hands-on practical experience in system design, application development, testing, and operational stability
• 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, Applicant Resiliency, and Security

Preferred Qualifications, Capabilities, And Skills
• Exposure to cloud technologies (Airflow, Astronomer, Kubernetes, AWS, Spark, Kafka)
• Experience with Big Data solutions or Relational DB.
• Experience in Financial Service Industry is nice to have.

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