Lead Software Engineer - Data Engineer
Chase bank
We 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 at JPMorgan Chase within the Asset and Wealth Management, 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
Design, develop, deliver and maintain secure, high-quality software solutions that enhance business capabilities and modernize technology platforms
• Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Collaborates with business and technology partners in multiple regions and time zones to maximize value delivered
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Participate in scrum team stand-ups, code reviews and other ceremonies, contribute to task completion and blocker resolution within your team
• 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 Experience with variety of Databases, BI tools, design, develop and implement robust data virtualization solutions. Denodo developer proficiency, VQL, performance tuning Ability to troubleshoot and define resource manager restrictions, query delegation, join strategies, remote tables etc. Should know about MPP architecture and familiarity in integrating bigdata tools and technologies. Formal training or certification on software engineering concepts Hands-on technical experience in system design, application development, testing, and operational stability Proficient in coding in one or more languages (Java Preferred) Experience in developing, debugging, and maintaining resilient and secure codebases in an enterprise environment with one or more modern programming languages and database querying languages Solid understanding of agile methodologies (such as Scrum/Kanban) Familiarity with Continuous Integration/Deployment practices Demonstrated practical experience of cloud technologies (Preferred Amazon Web Services and Kubernetes)
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