Azure Data Engineer

Azure DEPrimary Responsibilities -Create and maintain data storage solutions including Azure SQL Database, Azure Data Lake, and Azure Blob Storage.Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure Create data models for analytics purposesUtilizing Azure Data Factory or comparable technologies, create and maintain ETL (Extract, Transform, Load) operationsUse Azure Data Factory and Databricks to assemble large, complex data setsImplementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data.Ensure data security and complianceCollaborate with data engineers, and other stakeholders to understand requirements and translate them into scalable and reliable data platform architecturesRequired skills:Blend of technical expertise, analytical problem-solving, and collaboration with cross-functional teamsAzure DevOpsApache Spark, PythonSQL proficiencyAzure Databricks knowledgeBig data technologiesThe DEs should be well versed in coding, spark core and data ingestion using Azure. Moreover, they need to be decent in terms of communication skills. They should also have core Azure DE skills and coding skills (pyspark, python and SQL).Out of the 7 open demands, 5 of The Azure Data Engineers should have minimum 5 years of relevant Data Engineering experience.