Data Engineer - (CREQ266457) Description Data Engineer Owns the data pipelines that move data from operational source systems onto the data platform — extraction, ingestion, transformation, orchestration, and the day-to-day operational health of those pipelines. Also plays a role as a hands-on
Company Description WNS, part of Capgemini, is an Agentic AI-powered leader in intelligent operations and transformation, serving more than 700 clients across 10 industries, including Banking and Financial Services, Healthcare, Insurance, Shipping and Logistics, and Travel
CUBE are a global RegTech business defining and implementing the gold standard of regulatory intelligence for the financial services industry. We deliver our services through intuitive SaaS solutions, powered by AI, to simplify the complex and
Key Responsibilities Design, develop, and optimize classical machine learning models (e.g., regression, classification, clustering, time-series forecasting, anomaly detection) Build and deploy deep learning models using frameworks such as TensorFlow or PyTorch for structured, unstructured, and multimodal