HRMS Data Modeller

Raleigh, NC Raleigh NC 27699

Date : Aug-29-18

HRMS Data Modeller

Raleigh, NC

Aug-29-18

Work Authorization

US Citizen
GC
H1B
GC EAD, L2 EAD, H4 EAD, TN EAD

Preferred Employment

Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire

Job Details

Experience

:

Architect

Rate/Salary ($)

:

Market

Duration

:

12 Months

Sp. Area

:

Data Warehousing/ETL

Sp. Skills

:

Data Modeler

Consulting / Contract

Required Skills :

HR, HRMS, ER, "Data Model", "data Modeler", "Database modelling", Normalization, datwarehouse, Oracle, SQL

Preferred Skills :

Data warehouse

Domain :

Work Authorization

US Citizen
GC
GC EAD, L2 EAD, H4 EAD, TN EAD
H1B

Preferred Employment

Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire

Job Details

Experience

:

Architect

Rate/Salary ($)

:

Market

Duration

:

12 Months

Sp. Area

:

Data Warehousing/ETL

Sp. Skills

:

Data Modeler

Consulting / Contract

Required Skills :

HR, HRMS, ER, "Data Model", "data Modeler", "Database modelling", Normalization, datwarehouse, Oracle, SQL

Preferred Skills :

Data warehouse

Domain :

Apply Now

usg
Dublin, OH
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Job Description :

Hi,
This is Siva from USG. I hope you are doing great. We have an urgent requirement with one of our client for a HRMS Data Modeller. Please go through the requirement and get back to me ASAP.

Role: HRMS Data Modeller

Location: RTP , NC

Duration: Long Term

JD:

The HR data modeler is responsible for separating different types of HR data into structures that can be easily processed/distributed/reported/maintained by an enterprise. Data modeler focus on very specific issues such as way data moves from one system to another or even data redundancy problems with the help of data modeling.

1. Works with business teams and IT teams to accomplish the data model.
2. Model, generate and maintain the ER model for the HR systems
3. Prepare and maintain Logical Data Model and Physical Data Model

Skills:

1. Database modelling concepts
2. Data base Normalization concepts
3. Data ware house modelling concepts
4. Knowledge of Oracle SQL, SQL server, etc.,
5. Knowledge of data model tools like ER

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