Requires solid experience with Azure and hands-on experience in implementing (development / testing / deployment / hypercare-support) big data applications using Apache Spark (Databricks) Azure Data Factory Azure Storage - ADLS Gen2 Other storage options within Azure ecosystem Azure SQL Database and Azure Synapse Azure Security like Key Vault its integration with Azure services. Overall experience working with Azure Portal Experience with Azure Data Bricks and Data Factory Experience with Azure Data components such as Azure SQL Database, Azure Datalake Storage Experience in Python/ Pyspark Experience in ETL ELT Solid understanding of SQL alongside traditional/conventional data warehousing design patterns Good understanding of one scripting language Develop analytical functionality and complex transformation that will be finally deployed in production data platforms Hands-on experience troubleshooting, optimizing, and enhancing data pipelines and bringing improvements Experience good proficiency with at least one programming language (preferred Python) Should have worked on and have deployed multiple data engineering applications using Azure cloud-native data platform Strong troubleshooting and performance tuning skills Experience working under the agile delivery methodology
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