*ETL Architect*

*Duration: 6+  months
*

*Location: CA*


*Please send your resumes to: [email protected] with contact details.*

Job Requirements:

* 10+ years of overall IT experience

* 6+ years in a direct role as a designer and/or ETL architect

* 6+ years of Data Warehousing experience.

* 3+ years ETL and solutions architecture and design with Data Stage Grid

* Create complex technical solutions and design utilizing DataStage and
other technologies.

* Lead technical discussions impacting solutions and data integration
technology.

* Primary point of contact for customers and other organizations to resolve
data integration and design issue.

* Stay current in new ETL technologies, as well as new opportunities to
develop team knowledge base.

* Full life cycle experience in Data Integration, Data Warehousing, and
Master Data Management.

* Expert understanding of the ETL/ELT and architectural principles of data
integration and data warehousing as applied to Business Intelligence.

* Reviews and approves solution designs, technical specifications, and ETL
processing designs.

* Works with on/off shore teams to insure *best practice* standards and
process.



Qualifications:

 Candidate should posses 12+ years of overall IT experience

 Candidate should posses 6+ years in a direct role as a designer /
architect for ETL and/or EDW systems.

 Candidate should posses 6+ years of Data Warehousing and Methodology
experience.

 Candidate should posses 6+ years ETL Architecture including Data Stage,
Informatica, Ab Initio, ect...

 Candidate should posses 3+ years Advanced Data Stage solution design and
development.

 Candidate should posses technical expertise in application integration
(SOA, OLAP/MLAP, OOA, Real Time, Data Streams, and XML/UML, ect...)

 Must have advanced technical understanding with tools and products used in
data mart and data integration development, such as Teradata, SQL Server,
Netezza, Oracle, DB2, SQL, UNIX in a distributed environment utilizing MPP
and SMP architectures, Shell Scripting, Unix, and ETL tools for large data
volumes such as Data Stage, Trillium, Unix scheduling tools, such as
AUTOSYS.

 Technical expertise in distributed system architecture, design, and
development

 Broad and Deep Data Warehousing and Data Integration exposure

 Technical expertise in distributed system architecture, design, and
development

*
*

*
*

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