数据工程师
Data Engineer
薪资：0 - 72,000 美元/年
地点：美国
雇佣方式：远程办公
职位类型：全职
职位简介：
寻找一名数据工程师，为一家位于美国的金融科技客户设计和构建专注于大规模数据集和高吞吐量数据流的可扩展数据管道。
技能要求
必须具备
硬技能：
- 数据质量：初级
- 大数据：初级
- 数据管道：初级
- ETL、数据工程、SQL、管道、JAVA：熟练
加分项
硬技能：
- GCP、AI、AWS、云平台、Azure：初级
- 金融科技、Kafka、Elasticsearch、实时处理、云存储、Redis、B2B：初级
职位描述
额外要求
具备扎实的数据工程经验，熟悉 SQL 和数据库知识，有 ETL、批量或流式处理经验，掌握 Java 或类似编程语言，具备管道设计能力，并能解释架构决策。
职责
设计和构建数据管道（批量或流式），处理大量数据，确保数据验证、去重和一致性，从文件、云存储或流中导入数据，为分析准备数据，做出架构决策。
福利
- 可远程办公
公司简介
公司概况
您将加入一个国际工程团队，专注于开发面向金融机构的现代智能监控平台。该系统处理高频市场数据，以识别异常行为并确保跨司法管辖区的合规性。
此职位将为您提供接触复杂工程挑战、金融领域知识的机会，并在协作性强且技术实力雄厚的团队中塑造下一代平台。
最初发布于喜马拉雅山
查看英文原文
Salary: $0 - $72,000 per year
Location: , US
Employment option: Remote
Job type: Full time
Job Summary:
Seeking a Data Engineer to design and build scalable data pipelines focused on large datasets and high-throughput data streams for a US-based FinTech client.
Skills
Must Have
Hard skills:
- novice in: Data Quality
- beginner in: Big Data, Data Pipelines
- competent in: ETL, Data Engineering, SQL, Pipeline, JAVA
Nice-to-have
Hard skills:
- novice in: GCP, AI, AWS, Cloud Platforms, Azure
- beginner in: FinTech, Kafka, Elasticsearch, Real-Time Processing, Cloud Storage, Redis, B2B
Job Description
Additional Requirements
Strong Data Engineering experience, SQL and database knowledge, experience with ETL, batch or streaming processing, programming skills in Java or similar, pipeline design skills, and ability to explain architectural decisions.
Responsibilities
Design and build data pipelines (batch or streaming), process large volumes of data, ensure data validation, deduplication, and consistency, ingest data from files, cloud storage, or streams, prepare data for analytics, make architectural decisions.Benefits
- Work from home
About Company
Company Overview
You will be part of an international engineering team focused on developing a modern, intelligent surveillance platform for financial institutions. The system processes high-frequency market data to identify irregular behavior and ensure regulatory compliance across jurisdictions.
This role offers exposure to complex engineering challenges, financial domain knowledge, and the opportunity to shape a next-generation platform from within a collaborative and technically strong team.
Originally posted on Himalayas