Data Modeller (4-10 yrs)

Roles & Responsibilities :

- Experience in working with SME's to build Conceptual Data models

- Convert business requirements into technical requirements, supported by an efficient data model and detailed mapping

- Build Logical/Physical Models in Azure using best practices to ensure business requirements are met within the agreed SLA's

- Hands on experience of implementing the following methodologies

- Dimensional models (Ralph Kimball)

- Corporate Information Factory (Bill Inmon)

- Data Vault

- Experience of building Data Lake / Data Warehouse on Azure

- Good knowledge on ADLS, ADF, ADB & SQL

- Optimize logical/physical models to support new requirements

- Optimize logical/physical models with required metadata using Industry standard tools

- (Preferably ER/Studio)

- Develop and implement best practices and processes around naming standards to

- ensure consistency across the models & versioning of models

- Perform reverse engineering of physical models from existing databases and scripts

- Recommend opportunities to reuse existing data models for new use cases

- Analyse challenges around data integration / data mastering and propose appropriate solutions

- Work with development team to implement data strategy, build efficient data flows and testing of data loads

- Work with consumption teams to help explain the data model usage and amend the model to support efficient exploitation of data

- Creation, review and maintenance of data modelling and data mapping artefacts

- Contribute to the E2E Data Architecture & Design (Ingestion -> Transformation -> Reporting)

- Identifying ways to improve data reliability, efficiency, and quality