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Connecticut版 - a job position--Data engeneer (转载)
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1 (共1页)
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发帖数: 567
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【 以下文字转载自 DataSciences 讨论区 】
发信人: smalltomato (我爱番茄鸡蛋面), 信区: DataSciences
标 题: a job position--Data engeneer
发信站: BBS 未名空间站 (Wed Dec 17 10:00:58 2014, 美东)
The company is a Fortune 100 company, support H1B and green card. The data
science department is looking to hire some data engineers for the Hartford
office with Undergrad or Master degrees from CT/MA area schools (or someone
who is willing to work from the Hartford office). Ideal candidates are those
who recently graduated or will be graduating with degrees in Computer
Science, Information Systems Mgmt. or a related degree. If you have interest
please shot me a message. I'll reach back to you as soon as I can. Please
also forwad this information to whom you know qualify this job.
Please see the detailed job description below:
The Data Science organization is looking for talent that:
1.Enjoys being challenged to solve complex data driven problems
2.Demonstrates ability to take initiative and appropriate risks to fuel
innovation and support an entrepreneurial culture
3.Delivers high quality results to meet business objectives for a variety of
internal clients
4.Thrives in team environments; collaborating with team members to deliver
results
5.Adapts quickly to evolving business requirements; learning and applying
new technologies and capabilities
Data Engineers will deal with large, complex data sets, working on a variety
of engagements with internal clients. Engineers will be assigned a wide
variety of projects and given as much responsibility as their experience and
capabilities permit. Responsibilities include:
1.Analyzing, cleansing, transforming and integrating data from multiple
disparate sources
2.Identifying trends and patterns in large sets of data and communicating
insights to team members and managers
3.Joining tables to form new data sets, verifying data integrity and
utilizing metadata
4.Documenting transformation and integration rules
5.Thoroughly understanding schema and interrelation of various internal data
sources
6.Strong utilization of different technologies including, but not limited to
, Hadoop, Hive, Pig, SQL, Python, Netezza and shell scripting (Linux/Unix)
This role offers a unique opportunity for its participants to receive
training, obtain industry experience, and take the first steps toward
building a dynamic career at the company.
1 (共1页)
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话题: data话题: job话题: engeneer话题: variety话题: sets