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发帖数: 41 | 1 【 以下文字转载自 JobHunting 讨论区 】
发信人: Elijah (十), 信区: JobHunting
标 题: hiring in bay area: front end, full stack, data engineer
发信站: BBS 未名空间站 (Thu Apr 7 12:41:20 2016, 美东)
请斑竹们别再删帖了，我们收到一些简历，大都开始安排面试。既然是供需双方共赢的
事情，请版主们刀下留情。谢谢！
湾区公司招聘多个职位，简历请发送到[email protected]/* */
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Frontend Engineer
The big data team in Huami's US office, is looking for experienced front end
engineer to build state of art virtualization for data.
Responsibilities:
Build the first version of a customer facing web UI, support both mobile and
pc. Working closely with backend engineers to define the interface of
services, and UX to keep improving user experience.
Requirements:
Minimal 3+ years of experience on front end engineering.
Development experience with HTML, CSS, Javascript, on web and mobile
platform.
Familiar with Angular or React is big plus.
Experience of full stack engineering is big plus.
Experience of mobile app development is big plus.
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Full stack Engineer
The big data team in Huami's US office, is looking for experienced full
stack engineer with passion to work in different areas like front end, web
services, and data processing.
Responsibilities:
Build backend system to integrate with big data platform, and providing
services to front end/mobile app.
Requirements:
(Our technical stack is AWS + open source)
5+ years experience on backend system, such as web services, database design
, performance tuning, etc.
Programming language: Java (preferred), Python, Go. Knowledge of scripting
language is plus.
Experience with AWS, such as AWS EC2, Kinesis, DynamoDB, RDS, S3, is big
plus.
Experience with front end technologies, such as HTML, CSS, Javascript,
Angular JS, is big plus.
Experience of mobile development is big plus.
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Senior Data Engineer
The big data team in Huami's US office, is looking for experienced engineer
with big data background to join the team.
Responsibilities:
Work closely with internal teams and partners, to identity key requirements,
and come with the best solution to address their needs. Since team is small
, you may work on different areas of data processing pipeline, like platform
setup, system tuning and troubleshooting, data ingestion, ETL, data mining,
machine learning, virtualization and reporting, etc.
Requirements:
(Our technical stack is AWS + open source)
5+ years overall experience is desired. Hadoop, Spark and AWS experience is
big plus.
Programming language: Java (preferred), Python. Scripting language is plus.
Hands-on experience with Hadoop or Spark, such as HDFS, YARN, Hive, HBase,
Parquet, Spark Streaming, MLlib.
Hands-on experience with cloud infrastructure is big plus, such as AWS EC2,
Kinesis, DynamoDB, RDS, S3, Redshift.
Experience of setup, monitoring, tuning application and big data system, is
big plus. |
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