Back-End Engineer

• Lead the way in creating and sustaining the Google Cloud Platform (GCP) financial data infrastructure
• Allow small business merchants to easily engage with their financial data through chat and other web interfaces by meeting the back-end needs of the AI-powered chatbot
• Create and oversee reliable back-end services to enable our AI chatbot's operation
• For real-time data engagement, make sure the chatbot integrates seamlessly with financial databases
• For hosting, scaling, and managing back-end services, use GCP
• Use and oversee GCP data warehousing platforms, such as BigQuery, to store and query data more effectively
• Supervise the integration of data and ETL procedures from many financial sources
• To guarantee excellent responses for AI chatbot conversations, optimize back-end performance
• Put in place excellent security measures and compliance guidelines in GCP environments
• Collaborate closely with front-end developers and AI experts to guarantee seamless platform integration and operation
• To continuously improve our platform, and keep up with new developments in chatbot creation, AI, and GCP services

Job Requirements:

• Bachelor s/Master s degree in Engineering, Computer Science (or equivalent experience)
• At least 3+ years of relevant experience as a data engineer
• Demonstrable experience working with Python, Data Engineering, and Google Cloud Platform (GCP)
• Strong back-end development background, especially in GCP settings
• Competent in using BigQuery and other GCP services for data warehousing requirements
• Demonstrable experience creating and overseeing back-end services for AI applications, especially chatbots
• Prior experience with server-side languages such as Node.js, Python, and Java.js
• Strong knowledge of NoSQL and SQL database technologies
• Nice to have extensive knowledge of financial datasets and AI-powered chatbot features
• Superb problem-solving abilities, attention to detail, and capacity for productive teamwork
• Fluent in English communication, both spoken and written