Senior Principal Software Engineer
About The Position
As a Senior Principal Software Engineer at JPMorgan Chase within the Chief Data & Analytics Office, you will promote the architecture, design, and implementation of advanced data solutions. You will leverage Databricks and related technologies to enable business insights and innovation, contributing to the firm's data and analytics journey. This role offers the opportunity to develop secure, high-quality production code, lead scalable data pipeline projects, and mentor technical teams, all while fostering a culture of diversity, inclusion, and respect.
Requirements
- Expert-level proficiency in Databricks, Apache Spark, and distributed data processing
- Formal training or certification on software engineering concepts and 10+ years applied experience
- Hands-on experience with Python and/or Java application program development with use of automated unit testing
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Hands-on practical experience with terraform development and understanding of terraform enterprise
- Hands-on experience with GitHub / Bitbucket code versioning tool, Jenkins build tool and pypi / maven artifactory integrations
- Knowledge of Big Data distributed compute frameworks like Spark
- Experience with Agile development processes, as needed (SCRUM/KANBAN) using JIRA.
- Experience in Data pipelines using Spark
Nice To Haves
- Experience with Agile development processes, as needed (SCRUM/KANBAN) using JIRA.
- Experience in Data pipelines using Spark
- Experience in managing product release lifecycle at enterprise level
Responsibilities
- Develops secure high-quality production code, and reviews and debugs code written by others
- Lead the design and development of scalable data pipelines and analytics solutions using Databricks, Spark, and cloud platforms
- Define and implement best practices for data engineering, data lake architecture, and distributed computing
- Solves the companies most challenging cloud data platform problems by building innovative technical solutions around Data Lake Tools.
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- Adds to team culture of diversity, opportunity, inclusion, and respect
- Mentor and guide technical teams, fostering a culture of continuous learning and excellence in software engineering practices
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Industry
Credit Intermediation and Related Activities
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
