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Cloud Big Data Technologies
Enterprise Data Modeler

Location Austin, Texas

 
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Cloud Big Data Technologies
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Cloud Big Data Technologies
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Cloud Big Data Technologies
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Cloud Big Data Technologies
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Cloud Big Data Technologies
Cloud Big Data Technologies

Enterprise Data Modeler

location Austin, Texas

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Role : Enterprise Data Modeler

Location : Austin,TX

Duration : 6+ Months

Job Description :

As an Enterprise Data Modeler, the Worker must be innovative and creative in solving complex solutions. The Worker must have a strong background in developing comprehensive automated processes to extract data from disparate source systems, transform data as per business requirements, and load data into a data warehouse and various presentation models.

The Worker will be responsible for:

  • analyzing evolving sources of data, determining and implementing extraction methodologies
  • loading operational data models and data marts and re-architecting and standardizing existing ETL processes
  • working with users and business analyst to ensure that the correct data is being sourced into the Enterprise Data Warehouse and the sourced data is in conformance with data governance guidelines
  • developing processes and procedures in support of a large enterprise BI/DW environment
  • working with Business Customers, Section Managers, Project Managers, Business Analysts and Subject Matter Experts (SMEs) in a professional and collaborative manner to define strategies and implementation approaches
  • Following software development processes, preparing detailed documentation and generating work estimates in an SDLC environment.

WORKER SKILLS AND QUALIFICATIONS

  • Must possess strong written, verbal, and interpersonal communication skills.
  • Must be able to work independently in a team environment with local and remote teams
  • Must possess knowledge of project management methodologies both traditional and Agile/Scrum
  • Must possess problem-solving skills and ability to multi-task with readiness to put in extra efforts when necessary
  • Must perform related work as assigned

Minimum Requirements:

   
 

Extensive experience in architecting ETL Solutions, automation, and best practices

 

Expertise in source data analysis, defining data granularity, data element mapping, and data warehouse design.

 

Hands-on experience with data conversion, performance tuning, and managing conceptual and physical data models.

 

Extensive knowledge of/experience with data integration, data quality, multi-dimensional design and ETL tools, processes and methodology

 

Experience with IBM Infosphere DataStage v8.x and above

 

Knowledge and experience with both DW and BI security architecture, especially involving disparate platforms preferably Enterprise Resource Planning (ERP) software and Active Directory (AD)

 

Experience with implementing security and privacy requirements in a large enterprise environment

 

Experience preparing all required artifacts accurately and in a timely fashion for the project

Preferences:

   
 

Proficient with the Microsoft Windows and Office products

 

Public sector experience (Federal, State or Local Government)

 

Experience working with IT and business customers

Equal Opportunity Employer

Cloud Big Data Technologies is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. Cloud Big Data Technologies will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will Cloud Big Data Technologies require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract
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