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You have to design, develop, and optimize ETL pipelines using PySpark and Databricks to process large-scale data on the Azure cloud platform.
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Develop and maintain data models, data schemas, and data transformation logic tailored for Azure.
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Implement data ingestion processes from various data sources into Azure Data Lake and Azure SQL Data Warehouse.
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Collaborate with data scientists and analysts to understand data requirements and deliver high-quality datasets
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As a Data Engineer with expertise in PySpark, Databricks, and Microsoft Azure, you will be responsible for designing, developing, and maintaining robust and scalable data pipelines and processing systems