Seeking a Azure Data Engineer with robust expertise in Azure data engineering, Databricks, Spark, Data Factory, SQL/T-SQL, and CI/CD to build and support scalable cloud data solutions.

Key Responsibilities
Design, build, and maintain scalable Azure data pipelines and data platforms.
Develop high-performance data processing solutions using Azure Databricks, Spark, and Azure Data Factory.
Create and optimise SQL/T-SQL queries, ETL processes, and data transformations.
Implement CI/CD pipelines and apply contemporary data engineering best practices.
Partner with cross-functional teams to deliver secure and reliable data solutions.

Required Skills
10+ years of experience in Data Engineering or Software Engineering.
Degree in Engineering, Computer Science, IT, or a related field.
Robust expertise in Azure Databricks and Apache Spark (Mandatory).
Hands-on experience with Azure Data Factory (ADF) (Mandatory).
Advanced SQL/T-SQL and CI/CD knowledge.
Microsoft Azure certification(s) or equivalent practical experience.
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📌 Azure Data Engineer Melbourne (Australia)
🏢 Kaizen Global Technologies
📍 Australia