Act as the primary liaison between business stakeholders, Data Scientists, and Data Engineers to ensure technical builds align with strategic business goals. Lead the gathering and validation of complex requirements for data-driven applications, analytics dashboards, and AI/ML model deployment.
Take full ownership of deliverables across the entire project lifecycle for diverse financial applications. Liaise directly with US-based clients to develop data analytics platforms and back-office systems.
The developer will focus on creating robust, maintainable code and managing complex enterprise environments from design to deployment. They will also collaborate with technical and business stakeholders within distributed engineering teams.
Own and scale a shared React Native codebase for mobile and TV ecosystems, focusing on 10-foot UI experiences and D-pad navigation. Implement high-performance video playback engines and manage the end-to-end release lifecycle for mobile and TV app stores.
Take full ownership of deliverables across the entire project lifecycle while liaising directly with US-based clients. Develop diverse financial applications including data analytics platforms and back-office systems using a modern tech stack.
The role focuses on developing robust, maintainable code and managing complex enterprise environments from design through to deployment. It involves collaborating with technical and business stakeholders within distributed engineering teams.
The Data Analytics Engineer analyzes complex customer data to determine integration needs and develops scalable data integration pipelines. They also collaborate with various teams to align solutions with business objectives and automate data validation processes.
