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[继续招聘]外企招聘 | 远程 | 资深数据工程师 | 20W - 50W

UnknownCompany

¥16.7k - ¥41.7k / 月
发布于 今天
engineering全职远程办公
远程

岗位摘要

这是一份面向资深数据工程师的远程职位,由泰国CP集团招聘,要求具备5年以上数据工程经验,精通Python、Spark、SQL等技术和AWS等云平台。职责包括设计维护数据管道、优化数据存储方案、确保数据质量,并与团队协作支持数据驱动决策。职位提供20W-50W年薪,强调工作生活平衡和全远程工作模式,要求英语口语流利以进行技术和业务沟通。

技能要求:

数据工程师远程工作外企大数据PythonSparkAWSETL数据管道英语沟通全远程数据仓库数据湖SQL云平台数据建模数据质量技术领导跨团队协作WLB

岗位职责

20天前我发过一次帖子,过去1个月,已经发了2个offer了,目前仍然还有少量HC。希望感兴趣的同学可以投递。 我们是 base 在曼谷的 CP 集团,泰国最大的几个集团之一,目前在国内招数据工程师。 我主要还是给我们部门找人,要求也就是常见的那种,就不多啰嗦了。 要求英语口语可以进行技术和业务需求的沟通,面试都基本是英文面,工作语言也是英文为主。 薪水范围:20W-50W/年 ps1: 薪水大概是外企的薪水吧,比互联网低一点。WLB 好的多。所以我个人感觉还是不错的。 ps2: 无年龄限制,只要符合我们的招聘要求,基本都是可以的。 ps3: full remote Job Title: Senior Data Engineer Job Summary: We are seeking an experienced Senior Data Engineer to design, implement, and maintain our data infrastructure and pipelines. The ideal candidate will have a strong background in data engineering, big data technologies, and cloud platforms. You will work closely with data scientists, analysts, and other stakeholders to ensure efficient and reliable data processing and storage solutions and who has mind set things to done Key Responsibilities: Design, develop, and maintain scalable data pipelines and ETL processes Implement and optimize data storage solutions, including data warehouses and data lakes Collaborate with data scientists and analysts to understand data requirements and provide efficient data access Ensure data quality, consistency, and reliability across all data systems Develop and maintain data models and schemas Implement data security and access control measures Optimize query performance and data retrieval processes Evaluate and integrate new data technologies and tools Mentor junior data engineers and provide technical leadership Collaborate with cross-functional teams to support data-driven decision-making Requirements: Bachelor's or master’s degree in computer science, Engineering, or a related field 5+ years of experience in data engineering or related roles Strong programming skills in Python, Java, or Scala Extensive experience with big data technologies such as Hadoop, Spark, and Hive Proficiency in SQL and experience with both relational and NoSQL databases Experience with cloud platforms (AWS, Azure,) and their data services Knowledge of data modeling, data warehousing, and ETL best practices Strong problem-solving skills and attention to detail Excellent communication and collaboration skills as well Preferred Qualifications: Experience with stream processing technologies (eg Kafka, Flink or delta live table ) Familiarity with data governance and compliance requirements Experience with containerization and orchestration tools (e.g., Docker, Kubernetes) Contributions to open-source projects or relevant certifications Experience in Tencent big data platform Experience in PowerBI will be preferable

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