Data Engineer
Core
Design, develop, and maintain scalable ELT pipelines, Lakehouse solutions, and cloud-based data platforms to support enterprise reporting and advanced analytics for a healthcare organization.
Role type
Senior Data Engineer (Cloud & Lakehouse)
Builds
Scalable data pipelines, Medallion Architecture Lakehouse solutions, curated data products, and semantic layers
Domain
Healthcare / Aged Care / Cloud Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
ELT pipeline development, SQL, data modeling, Snowflake, Azure Data Factory, dbt, data migration, data governance, CI/CD
Preferred skills
Python, Azure Synapse, Microsoft Fabric, MuleSoft, dimensional modeling, healthcare domain knowledge
Technologies
Snowflake, Azure Data Factory, Azure Data Lake, Azure Synapse, dbt, Azure DevOps, MuleSoft
Responsibilities
Design and maintain scalable ELT pipelines and data integration solutions; Ingest and integrate data from enterprise applications, APIs, databases, and legacy systems; Build and optimize modern Lakehouse solutions using Medallion Architecture; Develop and maintain dbt models and dimensional data models; Perform data profiling, cleansing, validation, and reconciliation; Monitor, troubleshoot, and resolve data pipeline and platform issues; Apply data governance, security, and metadata management practices; Collaborate with BI Analysts, Data Scientists, and business stakeholders to deliver data solutions.
Seniority
Senior, hands-on IC
