$52.25 - $67.75/hr
Other
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Job description
Data Modeller (12031-1) Houston, TX
Experience level: Mid-senior Experience required: 10 Years Education level: Bachelors degree Job function: Information Technology Industry: Information Technology and Services Pay rate : Total position: 1 Relocation assistance: No Visa sponsorship eligibility: No
Location: Houston TX (Hybrid or Remote)
BI Technologies: ETL, Reporting, Data Quality
Database: SQL/Oracle or Appliance DB, Erwin or any other Data Modeling tool
Good to have experience of designing and developing solutions in Cloud Azure/AwS
8-10 years' experience
Job Summary
- Work closely with Business and technical SMEs of customer to understand the data consumption and reporting needs of the users
- Understand source system data structures as it relates to customer requirements and related data elements
- Responsible for development maintenance of conceptual, logical and physical schemas for landing Acquisition layer, Integration layer, analytical layer in chosen Database Design and develop mapping of source system data elements with common data model
- Coordinating with the ETL specialist on data mappings and conversion rules
- Support Data Model Version Control Coordinate with offshore team of developers, testers to ensure deliverables
- Technical Skills BI Technologies ETL, Reporting, Data Quality Database SQLOracle or Appliance DB, Erwin or any other Data Modeling tool
- Good to have experience of designing and developing solutions in Cloud AzureAwS
Working Place:
Houston, Texas, United States
Company :
ESR Healthcare
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Frequently asked questions
Q: What skills or qualities help someone succeed as a Data Modeler?
A: To succeed as a Data Modeler, key technical skills include proficiency in data modeling languages such as Entity-Relationship Diagrams (ERDs) and Object-Relational Mapping (ORM), as well as expertise in database management systems like MySQL and PostgreSQL. Additionally, strong analytical and problem-solving skills, along with proficiency in data visualization tools like Tableau or Power BI, are essential for effectively communicating complex data insights to stakeholders. Soft skills such as effective communication, collaboration, and adaptability also play a crucial role in navigating cross-functional teams and ensuring data-driven decision-making.
Q: What is the career path for a Data Modeler?
A: A Data Modeler's typical career progression involves starting as a Junior Data Modeler or Data Analyst, where they develop foundational skills in data modeling, database design, and data visualization. As they gain experience, they can move into mid-level roles such as Data Modeler or Senior Data Analyst, where they take on more complex projects, lead teams, and develop expertise in data governance, data quality, and business intelligence. Ultimately, senior Data Modelers can transition into leadership positions like Data Architect, Enterprise Architect, or even move into related fields like Business Intelligence or IT Management, leveraging their technical expertise and business acumen to drive organizational growth and innovation.