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 - Business Intelligence/Planning & Analytics at JPMorgan Chase within the Corporate Data and Analytics Service 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 problemsDevelops secure high-quality production code, and reviews and debugs code written by othersIdentifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systemsLeads 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 architectureLeads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologiesAdds to team culture of diversity, equity, inclusion, and respectRequired qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 5+ years applied experienceExperience in building applications on cube technology like IBM TM1/Planning Analytics , Oracle Hyperion/Essbase , Anaplan, SAP or any other similar cubing platform for large corporationsExtensive hands-on experience on cube platform components (web and excel ) for designing reports and dashboards.Experience in development of complex rules and workflows in cubes.Experience in automated data sourcing from relational databases , cloud data lakes (S3, Databricks, Snowflake etc. )Knowledge of one or more programming language(s) like Python or Unix shell scripting or other language Experience in documenting functional and technical design.Good knowledge of Finance modules like General Ledger, Planning & Analysis (P&A) and regulatory reporting Excellent communication (verbal and written) and interpersonal skills, and an ability to effectively communicate with both business and technical teamsExperience developing hybrid business solutions that are flexible, scalable and leverage wide range of technologies. Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and SecurityPreferred qualifications, capabilities, and skills
Practical cloud native experience (AWS or Azure )