Data Engineer (Hadoop, SQL, Python)

JOB DESCRIPTION:We are looking for innovative data engineers to build and evolve our leading financial products. You will work with a team of young and talented engineers to build robust and scalable big data pipelines, conduct advanced research in implementing state-of-the-art ML and AI techniques, build high-quality data services that are both streaming and batch-based.RESPONSIBILITIES: Develop and maintain data pipelines to ensure data quality for machine learning model development. Operationalize data processes - provide the team with ad-hoc analysis, automated dashboards, and self-service reporting tools so that everyone gets a good sense of the state of the business Collaborate with Data Analysts to build BI reporting systems and analytical dashboards. Support Data Scientists in retrieving, processing, and preparing data for model training. Efficiently prioritize and execute what’s important: prioritize for both speed and impact, and aggressively optimize for return by focusing on work output that scales well and is reusable Maintain a culture of high quality output and exceptional customer service: effectively communicate at all levels, ensure that work gets done well and on time, respond effectively to unexpected obstacles and reallocate resources as necessary