Lead Software Engineer

Required Education

• BS/BA degree in Computer Science, Information Systems, or related field

• Experience using Qlik or related Business Intelligence technologies such as Web Focus, Tableau, PowerBI
• Deep understanding of high‑performant data concepts such as file stores, wide column databases, key‑value pairs, etc.
• Excellent oral and written communication
• Excellent problem‑solving skills
• Highly analytical with the ability to work independently
• Expertise with Java, API, Angular, React
• Building Agentic Framework using MCP layers and LLMs
• Logical designing and Analytical skills based on product and platform requirement.

• Experience working with open source software
• Experience working with extremely large data sets
• Experience integrating new and emerging technologies into existing environments
• Provide oversight and guidance to Data Engineering development team

The Software Engineer role is responsible for working on developing data engineering solutions, approaches for ingestion, transformation and storage. In addition, you ll work within the Fraud Data Engineering team to grow their knowledge and expertise. You will get the chance to work with extremely large data sets and be on the cutting edge of transforming the way we captures, processes, stores and visualizes transactional data.

• Explore and develop Framework to support Agentic products
• Develop both internal and external dashboards using Qlik
• Work closely with team members from to identify functional and system requirements
• Work with team in resolving any issues that arise with dashboards, tasks, user access.
• Install the Qlik Sense Application expand clusters, add new clusters rare but important.
• Configure the application
• Add/Remove/Maintain Data sources
• Manage dashboard deployments
• Maintain Security Rules Add/Remove/Modify as needed
• Periodic evaluation of clusters with team management
• Design, develop and implement Data Mart's with quality and integrity at the top of mind to support our products
• Create documentation to support knowledge sharing; including flowcharts and diagrams
• Provide oversight and guidance to our Data Engineering development team
• Read and interpret conceptual, logical, and physical models
• Understand data modeling concepts and their application: entities and tables, relations and constraints, attribute data types and column data types