Job Overview
Apply now Funding Circle brings together small businesses and investors in a way that is truly revolutionary. Our mission is to foster an environment where small business can thrive. Our online platform provides a marketplace where investors receive better returns and small businesses find lower rates. The driving force behind our product is our engineering team; we are building elegant, sustainable, and scalable infrastructure on a global scale, and we want you to be a part of it! Our mission: to build a better financial world You will design, implement, test and maintain scalable data pipelines from a variety of web and marketing analytic providers. You will work alongside your team to ensure quality, performance and reliability goals are met while contributing to our overall back-end infrastructure. This role is mission critical. You will have huge influence on the entire data strategy for the organization! We're a tight-knit, highly visible part of the organization. Data is central to our mission of making a better financial world - come join us and drive the most strategic area of focus for the company! What we are looking for in you: Be a builder: you'll be developing scalable data warehousing solutions utilizing web & social data to help drive better decision making across the company.Be a collaborator: you'll be expected to partner with your business counterparts to forge deep bonds, understand their data needs and share ownership of their outcomes.Be a data evangelist: lead by example facilitating high quality data-driven decision-making throughout the company by helping other teams cultivate deeper knowledge and improve scoring models. Our ideal candidate has: 4+ years in a development and data engineering role preferably building data pipelines and dimensional models in high volume tech.Experience with Confluent stack: Kafka, Kafka Connect, Kafka Streams, Schema registryFamiliarity with AWS including Lambda, EC2, EMR, Glue, Athena.Exposure to big data systems and the issues that arise from working with large data sets.Extensive hands-on experience with SQL.Strong programming skills Clojure, Python,Online marketing experience - tracking and event data collection and analysisDeep understanding of the current Web Analytics landscape including FB, GA, Tag Manager. Extra points for: Experience in financial or other strongly regulated industry where oversight and attention to detail is paramount.Experience in virtualized environments (Mesos, Marathon, Chronos, Docker, etc.).Front end Javascript skillsR, SAS, ML algorithm creation & model building.