Spark, Java, ADF, ADB

The candidate will leverage their strong expertise in designing and developing data analytics and data warehouse solutions. This includes writing efficient Java and Python scripts on Spark for processing large-scale data. The role involves working with complex data distribution architectures, integrating service-oriented components, and implementing Data Lake solutions using Azure Databricks. A key responsibility is translating conceptual solutions into executable packages using the Azure platform, with a strong emphasis on Azure Storage Gen2 and other Azure analytics services.

Key Responsibilities:

• Design and develop scalable data analytics and data warehouse solutions using Spark on Azure Databricks
• Write Spark code primarily in Java, with additional scripting in Scala or Python as needed
• Develop and maintain ETL pipelines using Azure Data Factory (ADF)
• Work extensively with Azure Storage Gen2 and other Azure data services including Azure...