Data Engineer Aso8

Job Opportunity: Data Engineer (ASO8)

Position:Data Engineer

Classification: ASO8

Employment Type: Full-Time (1.0 FTE)

Location: Adelaide

Our client recognises the transformative potential of data-driven decision-making in enhancing healthcare outcomes. They are implementing a new data model.

This initiative aims to explore the potential benefits of a standard industry model in improving the quality, efficiency, and effectiveness of data within our services.

Key Responsibilities

As a Data Engineer, you will play a pivotal role in contributing to the ED Downtime App by:

• Design and Build Data Pipelines: Develop and maintain scalable and robust data pipelines within the Microsoft Azure environment.
• ETL Processes: Utilise Azure Data Factory, Azure Databricks, and other Azure services for data extraction, transformation, and loading (ETL) processes.
• Data Warehousing: Implement and manage data warehousing solutions using Azure and Snowflake data management.
• Healthcare Data Models: Work with common healthcare data models, ensuring compliance with industry standards such as HL7, FHIR, and HIPAA.
• Collaboration: Collaborate with data scientists and analysts to provide accessible, clean, and integrated data for advanced analytics.
• Data Optimisation: Optimise data storage and performance in Azure and Snowflake, managing both structured and unstructured data.
• Data Quality and Governance: Ensure data quality and integrity, implementing appropriate data governance and security measures.
• Documentation: Develop and maintain documentation for data models, data flow diagrams, and ETL processes.

Qualifications and Experience

To be considered for this position, you must have:

• Proven Experience: Demonstrated experience in designing and implementing enterprise-wide data models and pipelines, using a broad range of modern platforms and technologies.
• Azure Expertise: Proven experience as a Data Engineer on Microsoft Azure platforms.
• Technical Skills: Expertise in SQL, Python, and other data processing languages.
• ETL Knowledge: Strong knowledge of ETL techniques and tools, data modeling, and data warehousing.
• Enterprise Experience: Experience working in a large, complex organisation and adhering to enterprise standards and policies.
• Solution Design: Comprehensive knowledge and grasp of technology solution design, particularly as it relates to the design of complex enterprise-level system interfaces and data exchanges.
• Database Technologies: Experience with database technologies, migration, integration, virtualisation, and deployment methodologies.
• Dimensional Modelling: Extensive experience applying dimensional modelling principles to data structures.
• Data Serving: Proven experience in serving up data to a broad range of consumers (e.g., semantic layers, tools, data structures).
• Information Architecture: Strong understanding of information architecture, security, quality control, and governance principles associated with enterprise data warehousing solutions.
• Communication Skills: Exceptional quality written and verbal skills, particularly in the development of project documentation.
• Problem Solving: Excellent problem-solving and troubleshooting skills and experience.
• Healthcare Data Models: Experience with healthcare data models and familiarity with healthcare data standards and regulations.
• Industry Awareness: Awareness of the healthcare industry and clinical processes.

This is an exciting opportunity for a highly skilled professional eager to tackle complex challenges and drive technological excellence in the healthcare sector.

Join us in our mission to enhance healthcare outcomes through innovative data solutions.

Apply now to be a part of our transformative journey!