Monday 1 August 2011

Immediate Need for Data Warehouse Data Modeler in IL

Hello,

 

We have immediate Multiple positions with our client. Please email us the resumes of consultants on your W2 for the same. The client is actively Interviewing so an Immediate response will be highly appreciated.

 

Please include the candidate Location, Contact information & Rate in your response.

 

Local Candidates to Illinois RECOMMENDED, BUT NOT REQUIRED. If your candidate is NOT in Illinois, you would be responsible for 100% travel expenses for a face-to-face interview AFTER the initial phone interview.

 

Lead Software Engineer / Data Modeler

Location: Naperville, IL

Duration: 3 months+

 

Data Warehouse Data Modeler to serve on the Business Intelligence team, supporting Erwin Logical DW models along with Oracle, and/or PostgreSQL descendent columnar database target systems. This position will provide delivery capability to the BI team for database logical and physical design on a variety of projects. Excellent communication and organizational skills are a must, along with the ability to rapidly hit the ground running and positively contribute to success in a dynamic work environment.

 

Describe day-to-day activities:

1. Manages and develop logical/physical data models and ERWIN metadata documentation.

2. Assist with relevant capacity planning activities of data warehousing in terabytes volumes.

3. Analyze, size, and profile content of source systems and files to develop target data models that accurately and efficiently structure the required business information.

4. Provide an initial field-level source to target mapping that reflects the end-design of the modeled data tables to ETL developers.

5. Works closely with application project, data, systems and BI team leads on all issues related to logical and physical data models.

6. Will be required to work on moderately to very complex tasks.

7. Follow SDLC processes and master the rules governing business applications.

8. Demonstrates a commitment to core values of safety, integrity, process improvement, and customer satisfaction.

9. The position responsibilities outlined above are in no way to be construed as all encompassing. Other duties, responsibilities, and qualifications may be required and/or assigned as necessary

 

Requirements

# Bachelors degree in Computer Science, Information Technology, related engineering discipline or equivalent experience required

# 5+ years of IT experience, including database logical and physical design and implementation

# Project management/SDLC process familiarity

# High level of design experience with very large database warehousing environment, including design of star schemas, dynamic and materialized views, partitioning strategies, bitmapped indexes, and so forth. Experience with columnar databases a plus.

# Experience with a variety of system sources, including relational database, mainframe and ASCII flat files, and large packaged applications.

# Must be a high energy team player with a positive working attitude and possess excellent documentation skills

# Must be able to manage multiple assignments simultaneously

# Excellent verbal and written communications skills required.

# Understanding of the retail industry is preferred. Specific experience data modeling for merchandising/marketing functional areas a definite plus

 

Technical Skills

Required skills 5+ years experience:

# Modeling for Oracle version 10G targets in Data Warehousing Logical/physical and Decision Support Systems.

# Experience with columnar databases (descendent from PostgreSQL) a plus. Oracle DBA knowledge and experience also a plus.

# Demonstrated SQL experience to effectively analyze and profile data in relational database sources during the modeling process.

# Experience in design issues relevant to terabyte-level database deployment and tool-based ETL processes. Specific experience in DataStage a plus.

# Extensive Erwin usage. Logical/Physical modeling, DDL generation, capacity planning (volumetric), and reverse engineering

# Demonstrated knowledge and competence in Relational and Dimensional modeling techniques including star-schema, snowflake, conformed dimensions.

# Physical translation of logical models to physical database structures including partitioned tables, BTree and Bitmappedindexes. Awareness and understanding of performance implications associated with physical design decisions in Data Warehouse environments.

 

Regards

 

Bikramjit Bedi

 

cid:image003.png@01CC16D4.1562B510

 

734 610 9202 (W)

734 660 0356 (M)

248 247 2730 (Fax)

 

bikram@octapaceconsulting.com 

Visit us at: www.octapaceconsulting.com

 

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