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Data Engineer
San Jose, CA
San Jose
CA
95192
Date
: Aug-23-18
2018-08-23
2019-08-23
Data Engineer
San Jose, CA
Aug-23-18
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
:
Architect, Senior
Rate/Salary ($)
:
DOE
Duration
:
12 Months
Sp. Area
:
Data Warehousing/ETL
Sp. Skills
:
x-Other
Permanent Direct Hire
Consulting / Contract
H1B OK
Third Party OK
H1B Sponsorship Available
FULL_TIME, CONTRACTOR
Required Skills
:
Data Warehousing, Shell/Perl, MPP Systems, SQL, Core Java, C++
Preferred Skills
:
ETL, Hadoop, HBase, Hive
Domain
:
IT/Software, Financial
Work Authorization
US Citizen
GC
EAD (OPT/CPT/GC/H4)
H1B
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Architect, Senior
Rate/Salary ($)
:
DOE
Duration
:
12 Months
Sp. Area
:
Data Warehousing/ETL
Sp. Skills
:
x-Other
Permanent Direct Hire
Consulting / Contract
H1B OK
Third Party OK
H1B Sponsorship Available
FULL_TIME, CONTRACTOR
Required Skills
:
Data Warehousing, Shell/Perl, MPP Systems, SQL, Core Java, C++
Preferred Skills
:
ETL, Hadoop, HBase, Hive
Domain
:
IT/Software, Financial
PDDN INC
Fremont, CA
Post Resume to
View Contact Details &
Apply for Job
Job Description
:
10+ years of experience in the IT industry, experience in Data Technology space is preferred.
Advanced Shell or Perl scripting experience or proficiency in any programming language like C, C++ or CORE Java
Working experience in any MPP systems, should have strong SQL programming skills
Knowledge of data warehousing concepts
Working knowledge on any ETL tool (ie. Informatica/ Ab Initio) is preferable.
Knowledge of Scheduling Tools is a plus
Strong analytical skills including the ability to define problems, collect data, establish facts, and draw valid conclusions
Expertise in database programming and performance tuning techniques
Familiar with data movement techniques and best practices to handle large volumes of data
Experience with data warehousing architecture and data modeling best practices
Experience with File Systems, server architectures, and distributed systems
Working experience in an Agile methodology is highly preferred
Knowledge of Hadoop, HBase and Hive is highly preferred
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