Role: Data Modeler
Location: Remote
Primary Skills: ER modeling, big data, enterprise data, Data Mesh, and Databricks, Data Modelling, SQL
Secondary Skills: Devops, Git,
DATA MODELER - PROF LEAD
Duties*
Design and implementation of company databases and standards. Implement data modeling solutions to streamline and support enterprise data. Design models to reduce data redundancies, streamline data movements, and improve enterprise information management. Evaluate existing data systems. Work with data architect and development teams to create conceptual data models and data flows. Review modifications of existing systems for cross-compatibility, while implementing data strategies and developing physical data models. Update and optimize local and metadata models. Define team strategy to incorporate data domain into the enterprise domain area map. Evaluate implemented data systems for variances, discrepancies, and efficiency. Troubleshoot and optimizing data systems.
Required Qualifications
· Bachelor's degree in computer science, information technology, or equivalent work experience
· 9+ Years of hands-on experience with physical and relational/NoSQL databases, and data architecture computer systems, including SQL, Python
· Expert knowledge of metadata management and related tools.
· Knowledge of ER modeling, big data, enterprise data, Data Mesh, and Databricks
· Knowledge of mathematical foundations and statistical analysis.
· Excellent presentation, communication, and organizational skills
· Strong attention to detail
· Excellent communication and presentation skills.
· Advanced troubleshooting skills.
· Knowledge of DevOps/Git for agile planning and code repository
· Experience with
-- Location: Remote
Primary Skills: ER modeling, big data, enterprise data, Data Mesh, and Databricks, Data Modelling, SQL
Secondary Skills: Devops, Git,
DATA MODELER - PROF LEAD
Duties*
Design and implementation of company databases and standards. Implement data modeling solutions to streamline and support enterprise data. Design models to reduce data redundancies, streamline data movements, and improve enterprise information management. Evaluate existing data systems. Work with data architect and development teams to create conceptual data models and data flows. Review modifications of existing systems for cross-compatibility, while implementing data strategies and developing physical data models. Update and optimize local and metadata models. Define team strategy to incorporate data domain into the enterprise domain area map. Evaluate implemented data systems for variances, discrepancies, and efficiency. Troubleshoot and optimizing data systems.
Required Qualifications
· Bachelor's degree in computer science, information technology, or equivalent work experience
· 9+ Years of hands-on experience with physical and relational/NoSQL databases, and data architecture computer systems, including SQL, Python
· Expert knowledge of metadata management and related tools.
· Knowledge of ER modeling, big data, enterprise data, Data Mesh, and Databricks
· Knowledge of mathematical foundations and statistical analysis.
· Excellent presentation, communication, and organizational skills
· Strong attention to detail
· Excellent communication and presentation skills.
· Advanced troubleshooting skills.
· Knowledge of DevOps/Git for agile planning and code repository
· Experience with
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