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Data Modeller

1 month ago

Melbourne, Victoria, Australia Inovitsi Full time

Data Modeller

We are undertaking major technology projects that will transform our clients' businesses, accelerating digital transformation at Inovitsi. Currently, we seek a Data Modeller to contribute to our team.

As a Data Modeller, your responsibilities will include:

  1. Analysing and translating business needs into long-term solution data models.
  2. Developing conceptual, logical, and physical data models across structured, semi-structured, and unstructured datasets using standard data modelling techniques.
  3. Evaluating existing data systems.
  4. Developing best practices for data coding to ensure consistency within the system.
  5. Assisting with the design of data-driven applications and leading data assessment and mapping activities.
  6. Creating new models aligning with the Enterprise Data Model and producing artefacts describing critical information such as definitions, attributes, named relationships, keys, etc.

Your skills and experience:

  1. Strong data modelling design and implementation expertise.
  2. Experience in multiple data modelling techniques: Datavault, Kimball, 3NF.
  3. Knowledge of data ingestion, data consumption, access and authorisation, ETL frameworks.
  4. Excellent communication skills.

In this role, you will have the opportunity to work on various aspects of data modelling, contributing to the development of data-driven applications and ensuring the effective management of data systems. If you possess strong analytical skills, excellent communication abilities, and a passion for data modelling, we encourage you to apply.

Key Responsibilities:

  • Translate Business Needs: Analyse and translate business requirements into long-term data models.
  • Data Modelling Techniques: Develop conceptual, logical, and physical data models using standard techniques.
  • System Evaluation: Assess existing data systems to identify areas for improvement.
  • Data Coding Practices: Establish best practices for data coding to ensure consistency.
  • Data-Driven Applications: Assist in designing data-driven applications and lead data assessment and mapping activities.
  • Enterprise Data Model: Create new models aligning with the Enterprise Data Model and produce artefacts describing critical information.

Requirements:

  • Experience: Strong data modelling design and implementation experience.
  • Data Modelling Techniques: Experience in multiple data modelling techniques, including Datavault, Kimball, and 3NF.
  • Data Knowledge: Knowledge of data ingestion, data consumption, access and authorisation, ETL frameworks.
  • Communication: Excellent communication skills.