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Teradata Corp. Work Values

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Daily Duties at Teradata Corp.:

As a Teradata Consultant, worked at the customers listed above in various roles as needed. To include Enterprise System Architect, DBA, ETL Developer, Data Modeler, Performance Analyst, System Administrator, Operations Manager, and Technical Lead. Have performed virtually all aspects of Data Warehouse implementation over the last 18 years.


What they like about Teradata Corp.:

Working for a company with an emphasis on social values and helping society is a clear and important priority for you - a critical factor in who you choose to work for. In contrast to other factors, you place an organization's reputation for fairness and concern for the community above most other aspects of the company. As you search for a new job opportunity, it is usually possible to find out if the company is involved in the community and/or if it is addressing problems and issues in society. Pay special attention to non-profit organizations and those specifically involved in social action. Moreover, speaking with current and former employees should enlighten you to perceptions of the fairness of the company's leaders and the treatment of employees.



Information about Teradata Corp.


Company Rank: Not Available

Average length of employment : 14 years

Average salary of employees: $150,000

These are some of the questions we asked our climbers about their experiences with Teradata Corp.:

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Were your performance expectations clearly communicated?

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Were you recognized for meeting or exceeding expectations?

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Did you feel like your personal contribution was important?

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Was your career path clearly outlined and discussed?

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I would recommend this as a place of employment.
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I believe in the purpose of this organization.
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I would work for this organization again.
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I feel employees are fairly compensated.
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Climbers who worked at Teradata Corp. had these interests:

Books
The Passion Test Defining your future by clearly defining your desires.
The Data Warehouse Tool Kit The Complete Guide to Dimensional Modeling
Building the Data Warehouse The data warehousing bible updated for the new millennium Updated and expanded to reflect the many technological advances occurring since the previous edition
A Scalable Data Warehouse Solution 2001 AFCEA Symposium Article
Processing and Comparing Digital Images in a Data Warehouse 2004 White Paper


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