数据工程师
Data Engineer
关于Accelerant
Accelerant是一个以数据驱动的风险交易平台，将特种保险风险的承保人与风险资本提供者连接起来。Accelerant由一群长期从事保险行业的高管和技术专家于2018年创立，他们有一个共同的愿景，即重新构建风险交易的方式——让所有人都能更好地运作。Accelerant风险交易平台在超过20个不同的国家和250种特种产品中开展业务，我们自豪地了解到我们的保险公司获得了AM Best A-（优秀）评级。如需更多信息，请访问 。
职位描述
在Accelerant，我们不仅跟上技术发展的步伐，更在引领潮流。随着我们不断优化和扩展业务，我们正在寻找一位有远见的数据工程师加入我们的团队。
作为数据工程师，你将在构建和优化我们强大的数据平台中发挥核心作用。这个平台是我们的运营核心——它驱动我们的SaaS平台，支撑我们的内部分析，并为我们的运营系统提供动力。
在这个职位上，你将有机会设计和构建不仅提供洞察力，而且为Accelerant在数字领域的成功奠定基础的解决方案。无论是塑造独特的销售主张，还是突破我们技术的极限，你的工作将影响我们组织的每个角落。
主要职责
- 分析并从各种来源获取新数据集
- 设计、构建和支持云基础设施
- 设计、构建和支持AI和ML流程及基础设施
- 设计和构建现代的、以元数据驱动的数据管道和数据流
- 设计和构建数据服务API
- 转换和清理复杂的数据集
- 分析当前的业务实践、流程和程序
- 实施有效的指标和监控流程
- 对学习和分享知识的承诺
所需技能/经验
- 2年或以上数据工程师工作经验
- 在AWS上开发的经验
- Snowflake
- SQL
- Python
- 熟悉DataOps方法、工具和流程
期望技能
- dbt
- 处理结构化和非结构化数据集的经验
- 在人工智能和机器学习方面的经验
- 具有实时和批处理模式数据摄入的经验
- 在数据仓库开发方面的经验
- 一般的财产和意外险业务知识
最初发布于Himalayas
查看英文原文
About Accelerant
Accelerant is a data-driven risk exchange connecting underwriters of specialty insurance risk with risk capital providers. Accelerant was founded in 2018 by a group of longtime insurance industry executives and technology experts who shared a vision of rebuilding the way risk is exchanged – so that it works better, for everyone. The Accelerant risk exchange does business across more than 20 different countries and 250 specialty products, and we are proud that our insurers have been awarded an AM Best A- (Excellent) rating. For more information, please visit .
Job Description
At Accelerant, we're not just keeping pace with technological advancements, we're leading the charge. As we refine and expand our operations, we're looking for a forward-thinking Data Engineer to join our dynamic team.
As a Data Engineer, you will take on a central role in constructing and optimizing our robust data platform. This platform is at the heart of our operations—it drives our SaaS platform, underpins our internal analytics, and fuels our operational systems.
In this role, you'll have the unique opportunity to design and build solutions that don't just deliver insights but lay the foundation for Accelerant's success in the digital landscape. Whether it's shaping unique selling propositions or pushing the boundaries of what our technology can do, your work will influence every corner of our organization.
Key Responsibilities
- Analyse and ingest new datasets from varied sources
- Design, build, and support cloud infrastructure
- Design, build, and support AI and ML processes and infrastructure
- Design and build modern, metadata driven data pipelines and data streams
- Design and build data service APIs
- Transform and cleanse complex datasets
- Analyse current business practices, processes and procedures
- Implement effective metrics and monitoring processes
- A commitment to learning and sharing knowledge
Required Skills/Experience
- 2 or more years’ experience working as a Data Engineer
- Experience of developing in AWS
- Snowflake
- SQL
- Python
- Experience with DataOps methodologies, tools, and processes.
Desirable Skills
- dbt
- Experience handling structured and unstructured datasets
- Experience in AI and Machine Learning
- Experienced in real-time and batch mode data ingestion
- Experience in Data Warehouse development
- General P&C Insurance business knowledge
Originally posted on Himalayas