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 up-to-date 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.
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📌 Azure Databricks Data Engineer: Spark, SQL & Python (Sydney)
🏢 CareCone Group
📍 Sydney
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