Corporate Banking Technology is hiring a multi-skilled technologist to lead and build out our tech stack across Digital Marketing, Marketing Automation, Sales Enablement and Client Experience domains. We’re continuing to add, upgrade and enhance the tech ecosystem with best-in-class multi-channel applications and building data integrations that leverages data and intelligence to drive demand, generate leads and improve the client experience.

Job Description:
Understand business expectations and identify the best solution to complex problems that fits into the overall strategic direction and architecture
Leverage your expertise in modern architecture principles and industry best practices to design and develop integration flows across various applications and vendor SaaS applications in a secure, scalable and efficient manner
Work effectively with other tech, design, architecture, business stakeholders, vendors and consulting teams to create best in-class tech stack

Build data pipelines and data engineer processes to ingest, blend and analyze data that enables insights for driving growth and competitive advantage

Qualifications:
Bachelors/Masters in Computer Science or a technology-related degree
5+ years of enterprise level full stack development experience
Highly proficiency in multiple modern programming languages including Java/J2EE, and scalable microservices implementations using the Spring framework
Significant private/public Cloud experience including building cloud native applications in one of the major platforms i.e. AWS, Azure, Pivotal, Google, etc.
Systems integration and data processing experience leveraging a variety of methods, including event/message driven (Kafka, MQ)
Proficient in SQL and stored procedures across multiple types of databases (MariaDB, MySQL, Oracle, etc.)

Experience in Agile (Kanban/Scrum) development, CI/CD tools/processes/pipelines, DevOps environment
Familiar with automated testing and tools

Experience in UI frameworks including React JS or Angular or JQuery a plus
Experience with Salesforce (SFDC) CRM integrations and Apex preferred
Data engineering experience in a Hadoop environment a plus

Data science/analytics experience with Python, common machine learning packages, algorithms and visualization tools a plus
Excellent communication skills and to work collaboratively across organizations
Fast learner, nimble, flexible and able to adapt quickly

JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as any mental health or physical disability needs.

Equal Opportunity Employer/Disability/Veterans

Tagged as: agile, AI, Analytics, Azure, C++, Data, Excel, Go, Hadoop, Java, Kafka, Machine Learning, MySQL, Python, R, Scala, SQL

Source:

Job Overview
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