02 Oct
|
CareCone Group
|
Sydney
02 Oct
CareCone Group
Sydney
We are looking for a Data Engineer to design, build, and optimize high throughput data pipelines on Azure Databricks using Spark (Scala) and SQL
Design & develop scalable ETL/ELT pipelines in Azure Databricks using Spark (Scala) and SQL, following medallion architecture (Bronze/Silver/Gold) and Delta Lake best practices.
Proven expertise in designing real time and near real time integrations
Operationalize workloads: jobs & workflows scheduling, CI/CD with Git (e.g., Azure DevOps), secrets management, and observability.
Expertise in cloud platforms and related technologies, specifically:
Data Platforms (e.g. Databricks) and big data technologies.
Real time data processing frameworks Spark Streaming, Apache/Confluent Kafka
CICD tools GitHub, Confluence, Jira, Jenkins
Proficiency in SQL, Python, and data integration tools.
Familiarity with Master Data Management solutions
Excellent communication and stakeholder management skills.
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📌 Data Engineer Azure Databricks Sydney
🏢 CareCone Group
📍 Sydney