As a data professional, you will be part of a high-profile government program focused on transport safety and systems transformation. Your key responsibilities will include designing and maintaining data architectures, canonical models, and schema mappings to ensure system interoperability.
Key Responsibilities
* Data Architecture and Design: Create scalable and efficient data architectures, ensuring seamless integration with various systems.
* Pipeline Development: Build and optimize ETL/ELT pipelines for ingestion, transformation, validation, and publication of transport datasets.
* Data Governance: Apply data quality and governance frameworks to guarantee accuracy, consistency, and reliability.
* Collaboration: Work closely with cross-functional teams in an Agile environment to drive project success.
* Documentation: Develop detailed documentation of pipelines, schemas, lineage, and quality processes to support maintainability and future improvements.
Required Skills and Qualifications
* Data Modelling: Extensive experience in data modelling and canonical model design, including schema mappings.
* ETL/ELT Pipelines: Hands-on expertise with ETL/ELT pipelines in cloud environments.
* Data Validation: Strong background in data validation, testing frameworks, and pipeline monitoring.
* Process Optimisation: Demonstrated ability to optimise data processes for scalability, performance, and governance.
* Agile Environment: Experience working in an Agile delivery environment with strong collaboration and communication skills.
This role requires a skilled professional who can deliver high-quality results in a fast-paced environment. We are seeking a talented individual who can bring their expertise to our team and contribute to the success of our program.