Azure Databricks Data Engineer: Spark, SQL & Python

CareCone Group; Sydney; On-site; AUD 120,000 - 180,000; Full time

Job summary

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.

Qualifications

• Hands-on developer with strong experience designing data pipelines.
• Proficient in building ETL/ELT pipelines on Spark/Scala and SQL.
• Experience with real-time or near real-time integrations.
• Familiar with CI/CD practices using Git and observability tooling.

Responsibilities

• Design, implement, and optimize scalable data pipelines on Azure Databricks.
• Develop and maintain ETL/ELT processes following Delta Lake best practices.
• Ensure real-time data integration and reliable data delivery.
• Operationalize workloads with scheduling, CI/CD, secrets, and observability.

Skills

Azure Databricks

Scala Spark

SQL

Python

Tools

Git

Azure DevOps

Delta Lake

Job description

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.