Data Modeller

2 weeks ago


Perth, Western Australia Pyramid Global Technologies Full time
The data modeler designs, implements, and documents data architecture and data modeling solutions,which include the use of dimensional and relational.
These solutions support enterprise informationmanagement, business intelligence especially for Utilities Asset Management domain.
The successful candidate will:1.
Be responsible for the development of the conceptual, logical, and physical data models as partof the Enterprise Data Warehouse of Horizon Power with special emphasis to Asset Data Warehousing, the implementation of RDBMS, operational data store (ODS), data marts, anddata lakes on target platforms2.
Oversee and govern the expansion of data architecture and the optimization of data queryperformance via best practices.
The candidate must be able to work independently andcollaboratively.3.
Be very effective in client engagement both in onsite physical as well as offsite digital modes4.
Work in cross-functional teams with Engineering and Industrial to create an effective output forthe customer Responsibilities Implement business and IT data requirements through new data strategies and designsacross all data platforms (relational, dimensional) and data tools (reporting, visualization,analytics).
Work with business and application/solution teams to implement data strategies, build dataflows, and develop conceptual/logical/physical data models Define and govern data modeling and design standards, tools, best practices, and relateddevelopment for enterprise data models.
Identify the architecture, infrastructure, and interfaces to data sources, tools supportingautomated data loads, security concerns, analytic models, and data visualization.
Hands-on modeling, design knowledge Work proactively and independently to address project requirements and articulateissues/challenges to reduce project delivery risks.
Skills Bachelor's or master's degree in computer/data science technical or related experience.5+ years of hands-on relational, dimensional, and/or analytic experience (using RDBMS,dimensional, and ETL and data ingestion protocols).
Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required.
Good knowledge of metadata management, data modeling, and related tools (Erwin or ERStudio or others) required.
Experience working in cross-functional teams, manage teams, communication - internal aswell as external, and presentation.
Would be an advantage to have asset data exposure (non-mandatory)
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