Confiz LLC is looking for an experienced Data Engineer/Analytics professional with strong expertise in SQL, ETL pipelines, cloud technologies (AWS/GCP), and data visualization tools to support complex supply chain analytics initiatives. The ideal candidate will have hands‑on experience building scalable data pipelines, transforming large datasets into actionable insights, and collaborating with cross‑functional teams in a fast‑paced, agile environment. Strong communication skills, problem‑solving abilities, and prior supply chain domain experience are highly preferred. Responsibilities Work closely with Supply chain teams to understand complex data patterns and deliver on analytics aspects Build data pipelines that clean, transform, and aggregate data from disparate sources Use agile software development processes to make iterative improvements to our back‑end systems Model front‑end and back‑end data sources to help draw a more comprehensive picture of user flows throughout the system and to enable powerful data analysis Develop models that can be used to make predictions and answer questions for the overall business Requirements 5+ years of experience with SQL, and data visualization/exploration tools 4+ years experience in building data pipeline using ETL technologies Experience with tools like Metabase, Looker, Airflow is preferred. 4+ years experience in with the AWS, GCP Cloud technologies, Communication skills, especially for explaining technical concepts to nontechnical business leaders Prior supply chain experience is huge plus. Ability to work on a dynamic, research‑oriented team that has concurrent projects Education Bachelor's degree (or equivalent) in computer science, information technology, engineering, or related discipline Professional certification #J-18808-Ljbffr