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HRMS Data Modeller
Raleigh, NC
Raleigh
NC
27699
Date
: Aug-29-18
2018-08-29
2019-08-29
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 ($)
:
Market
Duration
:
12 Months
Sp. Area
:
Data Warehousing/ETL
Sp. Skills
:
Data Modeler
Consulting / Contract
CONTRACTOR
Required Skills
:
HR, HRMS, ER, "Data Model", "data Modeler", "Database modelling", Normalization, datwarehouse, Oracle, SQL
Preferred Skills
:
Data warehouse
Domain
:
Work Authorization
US Citizen
GC
GC EAD, L2 EAD, H4 EAD, TN EAD
H1B
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Architect
Rate/Salary ($)
:
Market
Duration
:
12 Months
Sp. Area
:
Data Warehousing/ETL
Sp. Skills
:
Data Modeler
Consulting / Contract
CONTRACTOR
Required Skills
:
HR, HRMS, ER, "Data Model", "data Modeler", "Database modelling", Normalization, datwarehouse, Oracle, SQL
Preferred Skills
:
Data warehouse
Domain
:
usg
Dublin, OH
Post Resume to
View Contact Details &
Apply for Job
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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