CareCone Group is seeking a hands-on Data Engineer to design, build, and optimize high-throughput data pipelines on Azure Databricks using Spark (Scala) and SQL. The role focuses on scalable ETL/ELT architecture within a modern data lake framework.
The ideal candidate will implement real-time and near real-time data integrations, ensuring robust pipelines with CI/CD and observability. Knowledge of Delta Lake and Azure DevOps is advantageous for efficient delivery.
Azure Databricks Data Engineer: Spark, SQL & Python in Sydney employer: CareCone Group
CareCone Group is an exceptional employer located in the vibrant city of Sydney, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from ongoing professional development opportunities, competitive remuneration, and a supportive environment that values work-life balance. Joining our team means being part of a forward-thinking organisation dedicated to delivering high-quality IT solutions while ensuring compliance with Australian working rights.
