数据工程师
Data Engineer
公司简介
Swish Analytics 是一家体育分析、投注和幻想体育的初创公司，正在打造下一代预测体育分析数据产品。我们认为，赔率制定是一项根植于工程学、数学和体育投注专业知识的挑战，而不是直觉。我们寻找具有团队精神、对准确且具有预测性的实时数据充满真诚热情的人才，他们能够在快节奏、富有创造力且不断发展的环境中执行任务，同时不牺牲技术卓越性。我们的挑战是独特的，因此我们希望你能在未知领域中感到舒适，并热衷于构建支持多种行业和消费者/企业客户的系统
职位描述
Swish Analytics 团队正在寻找数据工程师，直接参与核心消费者和企业数据产品的基础设施和交付工作，同时帮助支持非美国体育的覆盖。我们是一支对精准预测和实时数据充满热情的团队，希望你在使用最新最棒的技术构建新产品时能获得满足感。这是一个远程职位
职责
- 支持生产系统，在体育赛事直播期间协助排查问题
- 设计低延迟的实时分析系统，包括原始数据收集、特征开发和端点生产
- 构建新的体育博彩数据产品和预测服务
- 将大型且复杂的真实数据集整合到新的消费者和企业产品中
- 将生产级别的预测分析转化为企业级 API
- 参与新全自动化体育数据交付框架的设计和实现
要求
- 数学、计算机科学或相关 STEM 领域的学士学位
- 至少 2 年以上编写生产级别代码（Python）的经验
- 精通 Python 和 SQL（最好是 MySQL），有使用 Airflow 的经验
- 有使用 Kubernetes 的经验
- 有构建端到端 ETL 流水线的经验
- 有使用 REST API 的经验
- 有使用版本控制（git）、持续集成和部署、shell 脚本以及云计算基础设施（AWS）的经验
- 有网络爬虫经验和清理非结构化数据的经验
- 了解数据科学和机器学习概念
- 对体育和体育博彩有浓厚兴趣，尤其关注网球。了解美国体育，包括 NFL、NBA、ML
查看英文原文
Company Overview
Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.
Job Description
The Swish Analytics team is seeking Data Engineers to have a direct impact on the infrastructure and delivery of our core consumer and enterprise data offerings as well as helping support our coverage of non-US sports. We’re a team passionate about accurate predictions and real-time data, and hope you find satisfaction in building new products with the latest and greatest technologies. This is a remote position.
Duties
- Support production systems and help triage issues during live sporting events
- Architect low-latency, real-time analytics systems including raw data collection, feature development and endpoint production
- Build new sports betting data products and predictions offerings
- Integrate large and complex real-time datasets into new consumer and enterprise products
- Develop production-level predictive analytics into enterprise-grade APIs
- Contribute to the design and implementation of new, fully-automated sports data delivery frameworks
Requirements
- BS/BA degree in Mathematics, Computer Science, or related STEM field
- Minimum of 2+ years of demonstrated experience writing production level code (Python)
- Proficiency in Python and SQL (preferably MySQL) Demonstrated experience with Airflow
- Demonstrated experience with Kubernetes
- Experience building end-to-end ETL pipelines
- Experience utilizing REST APIs
- Experience with version control (git), continuous integration and deployment, shell scripting, and cloud-computing infrastructures (AWS)
- Experience with web scraping and cleaning unstructured data
- Knowledge of data science and machine learning concepts
- A strong interest in sports and sports betting, with an emphasis on Tennis. An understanding of US-based sports including the NFL, NBA, MLB, NHL, College Football, College Basketball, and the ability use your knowledge of the sport to inform your work with complex datasets
Base Salary:Starting at $160,000 - DOE
Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer’s discretion, this position may require successful completion of background and reference checks.
Originally posted on Himalayas