Required Skills
About the Job
Join the Amazon Music Selection Monitoring team and build the large-scale data processing systems that power catalog intelligence across Amazon. We process billions of products from diverse real-time and batch data sources to create high-quality product information. You will apply parallel processing, machine learning, and deep learning to evaluate and enrich product data globally. Your work will enable data-backed decisions that improve customer experience. This role involves building state-of-the-art data processing pipelines and Information Retrieval (IR) systems to transform unstructured and semi-structured data into structured entities. You'll push the boundaries of distributed systems, streaming and batch processing, elastic computing, big data, and AI at Amazon's global scale. We are seeking SDEs with strong technical knowledge, experience building large-scale software systems, and a passion for solving complex problems. You'll take ownership of system success, driving solutions from design to deployment in a fast-paced environment. This role offers exposure to data engineering, real-time and batch processing, observability, AI, big data, and cloud-scale distributed systems.
