Georgia IT Inc
Azure Data Engineer
Georgia IT Inc, Redmond, Washington, United States, 98052
zure Data Engineer
Location: Redmond area / if remote, should work in PST time zone and IST overlapping
Duration: Contract
Description: Expertise with Azure data services, such as
Microsoft Fabric
, zure Analysis Services . Azure SQL Database, Azure Synapse Analytics, Azure Data Lake Storage, Azure Data Factory, Azure Databricks, Azure Stream Analytics, and Azure Purview. bility to Design, configure and maintain Semantic Model settings in the Fabric workspace Expertise in maintaining LakeHouse in Microsoft Fabric with clear understanding of access management Clear understanding of data pipelines in Fabric and data caching in semantic model bility to design data pipelines, data ingestion, data transformation, data storage, data access, data security, data governance, and data quality using Azure tools and best practices. Proficiency in SQL and other query languages, such as T-SQL, KQL, Spark SQL Knowledge of data modeling techniques and patterns for relational and NoSQL databases. Understanding of big data concepts and architectures, such as distributed computing, parallel processing, streaming analytics, and machine learning. Familiarity with DevOps practices and tools for data platform development and deployment, such as Azure DevOps, GitHub, Azure Resource Manager, Azure CLI, PowerShell, and ARM templates. bility to communicate effectively with stakeholders and collaborate with other roles in the data platform team, such as data engineers, data analysts, data scientists, solution architects, platform engineers, security engineers, and business users.
Description: Expertise with Azure data services, such as
Microsoft Fabric
, zure Analysis Services . Azure SQL Database, Azure Synapse Analytics, Azure Data Lake Storage, Azure Data Factory, Azure Databricks, Azure Stream Analytics, and Azure Purview. bility to Design, configure and maintain Semantic Model settings in the Fabric workspace Expertise in maintaining LakeHouse in Microsoft Fabric with clear understanding of access management Clear understanding of data pipelines in Fabric and data caching in semantic model bility to design data pipelines, data ingestion, data transformation, data storage, data access, data security, data governance, and data quality using Azure tools and best practices. Proficiency in SQL and other query languages, such as T-SQL, KQL, Spark SQL Knowledge of data modeling techniques and patterns for relational and NoSQL databases. Understanding of big data concepts and architectures, such as distributed computing, parallel processing, streaming analytics, and machine learning. Familiarity with DevOps practices and tools for data platform development and deployment, such as Azure DevOps, GitHub, Azure Resource Manager, Azure CLI, PowerShell, and ARM templates. bility to communicate effectively with stakeholders and collaborate with other roles in the data platform team, such as data engineers, data analysts, data scientists, solution architects, platform engineers, security engineers, and business users.