Global Recruitment Solutions
Data Modeler - (Hybrid/Remote)
Global Recruitment Solutions, Houston, Texas, United States, 77246
About the job Data Modeler - (Hybrid/Remote)
Job Title: Data Modeler Location: Houston, TX (Hybrid or Remote)
Duration: 6+ Months
Work Authorization: Must Have US Citizenship/Green Card
Job Summary
We are seeking an experienced
Data Modeler
with strong expertise in BI technologies, database design, and data modeling to join our team in Houston, TX. The ideal candidate will work closely with business and technical subject matter experts (SMEs) to design, develop, and maintain data models that support reporting, analytics, and business intelligence initiatives. This role requires 8-10 years of experience in data modeling and database development, with exposure to cloud platforms being a strong plus.
Key Responsibilities
Collaborate with business and technical SMEs to understand data consumption and reporting needs.
Analyze source system data structures and map them to customer requirements and data elements.
Develop and maintain
conceptual, logical, and physical schemas
for acquisition, integration, and analytical data layers.
Design and implement data mappings between source system data elements and a common data model.
Coordinate with ETL specialists to define data mappings, transformation rules, and conversion logic.
Manage
data model version control
and ensure consistency across environments.
Work closely with offshore teams of developers and testers to support deliverables.
Ensure data quality, integrity, and availability to meet business intelligence and reporting requirements.
Technical Skills
BI Technologies:
ETL, Reporting, Data Quality Databases:
SQL / Oracle or Appliance DB Data Modeling Tools:
Erwin or equivalent tools
Good to Have:
Experience designing and developing cloud-based solutions (Azure or AWS)
Qualifications
8-10 years of experience in data modeling, database design, and business intelligence.
Strong expertise in designing
conceptual, logical, and physical data models .
Hands-on experience with SQL, Oracle, or appliance databases.
Strong knowledge of ETL, data quality, and reporting solutions.
Familiarity with version control and data governance best practices.
Excellent problem-solving, communication, and stakeholder collaboration skills.
Cloud experience with Azure or AWS is a plus.
Job Title: Data Modeler Location: Houston, TX (Hybrid or Remote)
Duration: 6+ Months
Work Authorization: Must Have US Citizenship/Green Card
Job Summary
We are seeking an experienced
Data Modeler
with strong expertise in BI technologies, database design, and data modeling to join our team in Houston, TX. The ideal candidate will work closely with business and technical subject matter experts (SMEs) to design, develop, and maintain data models that support reporting, analytics, and business intelligence initiatives. This role requires 8-10 years of experience in data modeling and database development, with exposure to cloud platforms being a strong plus.
Key Responsibilities
Collaborate with business and technical SMEs to understand data consumption and reporting needs.
Analyze source system data structures and map them to customer requirements and data elements.
Develop and maintain
conceptual, logical, and physical schemas
for acquisition, integration, and analytical data layers.
Design and implement data mappings between source system data elements and a common data model.
Coordinate with ETL specialists to define data mappings, transformation rules, and conversion logic.
Manage
data model version control
and ensure consistency across environments.
Work closely with offshore teams of developers and testers to support deliverables.
Ensure data quality, integrity, and availability to meet business intelligence and reporting requirements.
Technical Skills
BI Technologies:
ETL, Reporting, Data Quality Databases:
SQL / Oracle or Appliance DB Data Modeling Tools:
Erwin or equivalent tools
Good to Have:
Experience designing and developing cloud-based solutions (Azure or AWS)
Qualifications
8-10 years of experience in data modeling, database design, and business intelligence.
Strong expertise in designing
conceptual, logical, and physical data models .
Hands-on experience with SQL, Oracle, or appliance databases.
Strong knowledge of ETL, data quality, and reporting solutions.
Familiarity with version control and data governance best practices.
Excellent problem-solving, communication, and stakeholder collaboration skills.
Cloud experience with Azure or AWS is a plus.