
Data Modeler
1 week ago
**Role**:Data Modeler
**Location**: Sydney, NSW
**Employment Type**:Permanent
**Please find the JD below-**
- Translate Business requirements into Data Requirements. Understand the data elements and their domains; understand relationships among those elements and inter-dependencies between models.
- Use acquired knowledge and developed **Unified Data Model, Logical Data Models, Physical Data Models, and Data Element Dictionaries**:
- Develop maintenance processes for requirements and modelling artefacts
- Oversee data mapping for data conversion from legacy data stores and formats to new data structures. Perform architectural alignment with enterprise formats.
- Perform impact analysis
- Coordinate efforts across teams that leverage multiple development methodologies (e.g., Waterfall, Agile, etc)
- Determine practicality and technical fit of developed standards and architectures
- Support QA team’s test cases and test data preparation. Carries out unit and Integration test support.
- Coordinate solution release activities and provide production support on need basis
- Expert knowledge on various Data modelling techniques: OLTP (normalized), ODS, EDW (dimensional)
- Experience with Databricks, Cloudera
- Working knowledge of Cloudera (structured/semi-structured/unstructured data)
- Preferred knowledge on Azure Cloud, Python, SQL
- Knowledge of Industry Data Models
- Working knowledge in the creation of data infrastructure - such as views, stored procedures, ETL usage, real-time/streaming data integration
- Experience in system / business / data analysis related to data migration and data integration projects
- Experience with enterprise data management, governance, and BI / reporting tools
- Knowledge of the development of data models compliant with non-functional enterprise requirements, such as security and performance guidelines
- Deep understanding of data flow diagrams, system architecture diagrams, functional and system analysis
- Understanding and hands-on experience of the Data Architecture, Data Quality, and Data Profiling concepts
- Leadership and influential skills to develop consensus across onsite/offshore consultants.
- Overall technical competence to deliver data management solutions that adhere to standards and excellent presentation skills
- Problem solving attitude, eagerness to learn new tools and technologies, and proactive approach to daily activities
**Job Types**: Full-time, Permanent
Schedule:
- 8 hour shift
- Day shift
**Experience**:
- Cloudera: 5 years (required)
- Databricks: 5 years (required)
Work Authorisation:
- Australia (required)
Work Location: In person
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