Cloud Data Engineer (ETL/ELT) with Spark & Azure
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Summary
Designs, builds, and supports ETL/ELT data pipelines across large cloud environments, optimizing data storage and ensuring data quality and performance for downstream analytics. Core stack: Spark, Azure Data Factory, Databricks, and Azure SQL.
Softtest Pays Pty in Australia is seeking a data engineering professional to design, develop, and support ETL and ELT processes across large cloud-based environments. You will build reliable data pipelines, optimize data storage, and enable accessible analytics for downstream consumption.
You will collaborate with engineering, storage, and analytics teams, work with Spark, Azure Data Factory, Databricks, and Azure SQL, and ensure data quality and performance.