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Informatica Consultant
Hoboken, NJ
Hoboken
NJ
07030
Date
: Feb-19-18
2018-02-19
2018-03-05
Informatica Consultant
Hoboken, NJ
Feb-19-18
Work Authorization
US Citizen
GC
H1B
EAD (OPT/CPT/GC/H4)
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Senior
Rate/Salary ($)
:
Market
Duration
:
Full Time
Sp. Area
:
Data Warehousing/ETL
Sp. Skills
:
Informatica
Permanent Direct Hire
Consulting / Contract
FULL_TIME, CONTRACTOR
Direct Client Requirement
Required Skills
:
Informatica, Power center 9.x, Data ware house, ETL, PL/SQL, OLAP, Extract, Transform, Load , Business Intelligence
Preferred Skills
:
Domain
:
Work Authorization
US Citizen
GC
EAD (OPT/CPT/GC/H4)
H1B
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Senior
Rate/Salary ($)
:
Market
Duration
:
Full Time
Sp. Area
:
Data Warehousing/ETL
Sp. Skills
:
Informatica
Permanent Direct Hire
Consulting / Contract
FULL_TIME, CONTRACTOR
Direct Client Requirement
Required Skills
:
Informatica, Power center 9.x, Data ware house, ETL, PL/SQL, OLAP, Extract, Transform, Load , Business Intelligence
Preferred Skills
:
Domain
:
IT-SCIENT LLC
Fremont, CA
Post Resume to
View Contact Details &
Apply for Job
Job Description
:
Position: Informatica Consultant
Location: Hoboken, NJ
Duration: Full Time
Minimum Work Experience: 10+ Years
Requisition Details:
Minimum 4 to 6 years of experience in development of Informatica Power center 9.x and above
Expert in Design and development of Informatica mappings, workflows, sessions
Experience in Informatica administration and migration across environments
Experience in designing mapping for flat files and designing the solution for optimized performance
Good understanding of Data ware house concept. Designing data marts, PLSQL and OLAP concepts
Work closely with project Business Analyst, Data Modeler and BI Lead to ensure that the end to end designs meet the business and data requirement
Assist in the ongoing development of technical best practices for data movement, data quality, data cleansing and other ETL-related activities.
Technical knowledge of Extract/Transform/Load (ETL) solutions for Business Intelligence projects
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