Data Engineer

San Jose, CA San Jose CA 95192

Date : Aug-23-18

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

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

Required Skills :

Data Warehousing, Shell/Perl, MPP Systems, SQL, Core Java, C++

Preferred Skills :

ETL, Hadoop, HBase, Hive

Domain : IT/Software, Financial

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PDDN INC
Fremont, CA
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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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