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Senior Data Engineer: Spark, Lakehouse & AI Pipelines

Summary

Builds and optimizes scalable ETL pipelines using Spark, Delta Lake, and Azure Databricks to feed AI/ML models and analytics for a global gambling platform.

Aristocrat is seeking an experienced Data Engineer to drive scalable data initiatives and high-performance ETL pipelines. You will collaborate with cross-functional teams and work with modern data platforms such as Microsoft Fabric, Azure Databricks, Snowflake, and Delta Tables in a Lakehouse architecture.

Ideal candidates have 4+ years of data engineering experience, strong Python, SQL/NoSQL skills, and familiarity with AI/ML concepts.

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