
Healthcare Insurance • Education • Recruitment
CARE is a boutique provider of high-quality, accredited carers for the Aged Care and Early Learning industries. It specializes in matching experienced professionals, recent graduates, and students with job vacancies in these sectors, facilitating rewarding career placements. CARE aims to support clients and carers by providing effective staffing solutions and contributing to their success in the industry.
October 22

Healthcare Insurance • Education • Recruitment
CARE is a boutique provider of high-quality, accredited carers for the Aged Care and Early Learning industries. It specializes in matching experienced professionals, recent graduates, and students with job vacancies in these sectors, facilitating rewarding career placements. CARE aims to support clients and carers by providing effective staffing solutions and contributing to their success in the industry.
• Designing, developing, and maintaining robust data pipelines. • Ensuring reliable ingestion, transformation, and delivery of complex data across systems. • Developing and maintaining architecture standards, reusable frameworks, and best practices across data engineering workflows. • Optimizing data storage and processing in data lakes and cloud data warehouses (Azure, Databricks). • Developing and monitoring batch and streaming data processes. • Maintaining documentation and lineage tracking across datasets and pipelines. • Working cross-functionally with analysts, data scientists, software engineers, and business stakeholders. • Providing technical mentorship to junior team members.
• Strong expertise in Databricks, SQL, dbt, Python, and cloud data ecosystems such as Azure. • Experience working with structured and semi-structured data from diverse domains. • Familiarity with CI/CD pipelines, orchestration tools (e.g., Airflow, Azure Data Factory), and modern software engineering practices. • Strong analytical and problem-solving skills, with the ability to address complex data challenges and drive toward scalable solutions. • Bachelor’s or master’s degree in computer science, Information Systems, Engineering, or a related field. • 5+ years of experience in data engineering with a proven track record of building cloud-based, production-grade data pipelines.
• Health insurance • Professional development opportunities • Remote work options • Paid time off
Apply NowOctober 22
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