Required Skills: 10+ years of data engineering experience. 5+ years of experience in building data and analytics platform focused on Azure data and analytics solutions. 5+ years of programming experience in Python/Pyspark. Must have experience in Microsoft Fabric and implemented at the least 2 major initiatives. Built multiple semantic models in Fabric leveraging Direct Lake query mode. Knowledge of data modeling and data warehousing concepts. Experience with cloud-based data migration. Database management experience (MSSQL, Azure SQL Database, Azure Data Lake Storage, and Azure Synapse). Leveraged and implemented Shortcuts across workspaces to aggregate the data between different sources. Implemented the different types of security for lakehouses and datawarehouses i.e. RLS/CLS/OLS. ETL tool experience (e.g., SSIS, Azure Data Factory, Power BI Dataflow). Bitbucket / Jenkins / GIT Integration using Azure Repos for the Source Control. Experience in Azure services such as: Azure SQL Database Azure Data Factory Azure Synapse Analytics Azure Data Lake Notebooks Preferred Certifications: MCSE Azure Data Engineer Associate Microsoft Fabric Analytics Architect / Engineer Associate Additional background: Leadership skill/ Soft skills: Collaborative, team player. Self-starter. Curious about technology. Agile experience. Saxon Global
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