Please send resume to *rahul.agar...@npvstaffing.com
<rahul.agar...@npvstaffing.com>*


Job Title: *ETL Developer*
Location: *Chicago, IL (Looking for Locals Only - F2F Interview)*
Duration: 6 months + extension
*Mode of Interview: Phone, then F2F*

*LOCALS ONLY. ALL Profiles that are not local will not be reviewed. No
relocation. No Skype. Client does not pay for F2F.*



*Top skill set:*
- T-SQL
-Database experience ( SQL or Teradata)
- Production Automation ( Automation of ETL processes)

-Data Modeling experience


*Skill Set Required: *


*MS SQL Server Integration Services (SSIS), DWLoader MS SQL SERVER T-SQL,
Stored Procedures SQL Server Management Studio, SQL Query Analyzer*



*Job Description:*


Design, develop, and maintain relational databases for data storage and
data mining. Perform data warehouse design and testing, including data
design, database architecture, metadata, and repository creation.

Design data warehouse schematics, layouts, and capacity planning.

Create and implement effective metrics and monitoring processes.

Develop processes and procedures for entering information into data
warehousing systems and for ensuring reliability of information entered.

Seek continuous improvement in performance of data warehouse and ensure
security of data.

Career-Level position within field.

Considered highly skilled and proficient in discipline.

Conducts complex work important to the organization.

Works under minimal supervision with wide latitude for independent
judgment. Typically requires six to nine years of relevant experience or
equivalent combination of experience and education.

Developer will support the Revenue Management IT 'Gemini' project by
performing the following tasks:

* Data extraction from different sources such as SQL Server, Teradata, flat
files, Excel, and XML files into staging, transformation necessary to
recast source data for analysis, and loading of transformed data into the
presentation repository. It includes the selection criteria to extract data
from source systems, perform any necessary data transformations or
derivations needed, data quality audits, and cleansing.

* Data Modeling: Design and implementation of data models for both
integration and presentation repositories. Creation of OLAP Cubes, cube
partitions, and star schema designs including hierarchical and slowly
changing dimensions.

* Production Automation: Design and schedule the ETL/ELT process for
periodic automated updates, including FTP/SFTP file transfers. Automated
update processes must have built-in fail-over strategies and must ensure
data consistency and correctness.

* T-SQL Programming: Writing complex stored procedures, efficient SQL
Queries with joins, and tuning for optimal performance.


Regards,

Rahul Agarwal

NPV Staffing llc

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