Data Modeler
Data Modeler
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Salary Not Disclosed
1 Vacancy
Job Description
Duration: Long Term
NOTES:
This person will be architecting how data needs to be stored
Not needing someone on analytical side
Need to be experienced on the application side of data modeling
OLTP modeling is REQUIRED - not OLAP
We need data modeler
Not needing bring and store and design data
We need architect that designs it not building data structures
Purely design role
Normally we do 2 separate interviews
Max 2 rounds virtual
Data Modeler Job Description
Develop maintain and enhance conceptual logical and physical data models for various business domains and applications.
Experience in building Data models in OLTP Systems from the scratch.
Experience in building generic DATA models for File Processing Document Processing Hierarchy models Data Auditing Notifications.
Translate business requirements into data models ensuring structural integrity and compliance with organizational standards.
Design and optimize database structures to support data storage retrieval and analysis.
Collaborate with database administrators and developers to implement data models in database systems (SQL Server Oracle).
Ensure data integrity security and performance through proper database design and optimization techniques.
Perform data profiling analysis and validation to identify inconsistencies and anomalies.
Collaborate with stakeholders to elicit analyze and document data requirements.
Create clear and comprehensive documentation of data models including entity-relationship diagrams data dictionaries and metadata.
Support data integration projects by mapping data sources to target data models and designing data transformation processes.
Facilitate data migration efforts ensuring seamless transition of data from legacy systems to new platforms or environments.
Work closely with business analysts developers and project managers to align data modeling efforts with project timelines and objectives.
Conduct quality assurance reviews of data models to ensure accuracy completeness and usability.
Identify and resolve data model-related issues such as performance bottlenecks data anomalies and schema conflicts.
Contribute to the overall success of the team by actively participating in meetings sharing insights and contributing innovative ideas.
Employment Type
Full-time
