Data Engineer: Spark & SQL on Azure Databricks

CareCone Group; Sydney; On-site; AUD 120,000 - 160,000; Full time

Job summary

CareCone Group in Sydney is seeking a hands-on Developer to design, build, and optimize high-throughput data pipelines on Azure Databricks using Spark (Scala) and SQL. The role focuses on ETL/ELT architectures, Delta Lake best practices, and real-time integrations.

You will implement CI/CD, secrets management, and observability while working with modern data platforms. Key skills include Scala Spark, SQL, and Python, plus familiarity with Databricks and Kafka.

Qualifications

• Hands-on developer to design and optimize high-throughput data pipelines on Azure Databricks with Spark (Scala) and SQL.
• Design ETL/ELT pipelines following Delta Lake best practices.
• Real-time and near real-time data integrations.
• CI/CD with Git (Azure DevOps), secrets management, and observability.
• Familiarity with Databricks, Spark Streaming and Kafka.
• Strong SQL and Python skills, plus stakeholder communication.

Responsibilities

• Design, build, and optimize high-throughput data pipelines on Azure Databricks using Spark (Scala) and SQL.
• Develop scalable ETL/ELT pipelines with medallion architecture and Delta Lake.
• Implement real-time and near real-time data integrations.
• Operationalize workloads with scheduling, CI/CD, secrets management, and observability.

Skills

Scala

Spark

SQL

Python

Data warehousing concepts

Tools

Databricks

Job description

CareCone Group in Sydney is seeking a hands-on Developer to design, build, and optimize high-throughput data pipelines on Azure Databricks using Spark (Scala) and SQL. The role focuses on ETL/ELT architectures, Delta Lake best practices, and real-time integrations.

You will implement CI/CD, secrets management, and observability while working with modern data platforms. Key skills include Scala Spark, SQL, and Python, plus familiarity with Databricks and Kafka.