Phaxis
Azure Data Engineer
Phaxis, Newark, New Jersey, us, 07175
Salary:
110k to 140k + bonus3 days remote and 2 days onsite
Must Have Qualifications:
Strong PythonConstructing a data and analytics framework with a specialized emphasis on Azure of data and analytics solutionsProficiency in Azure suite of services, including Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, and Azure Data LakeData integration solutions encompassing a variety of ETL tools such as SSIS, Azure Data Factory, and Power BI Dataflow.Managing databases across a spectrum of platforms, including MSSQL, Azure SQL Database, Azure Data Lake Storage, and Azure Synapse.
Day-to-Day Responsibilities:
3+ years of experience in building data and analytics platform focused on Azure data and analytics solutions.Creating and implementing data storage system utilizing Azure's suite of services such as Azure SQL Database, Azure Data Lake Storage, and Azure Synapse.Creating and deploying data integration processes with Azure Data Factory.Extracting data from different sources, executing transformations, and putting it into data warehouses or lakes.Enhancing the efficiency of data pipelines and database performance through continuous monitoring and optimization efforts.
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110k to 140k + bonus3 days remote and 2 days onsite
Must Have Qualifications:
Strong PythonConstructing a data and analytics framework with a specialized emphasis on Azure of data and analytics solutionsProficiency in Azure suite of services, including Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, and Azure Data LakeData integration solutions encompassing a variety of ETL tools such as SSIS, Azure Data Factory, and Power BI Dataflow.Managing databases across a spectrum of platforms, including MSSQL, Azure SQL Database, Azure Data Lake Storage, and Azure Synapse.
Day-to-Day Responsibilities:
3+ years of experience in building data and analytics platform focused on Azure data and analytics solutions.Creating and implementing data storage system utilizing Azure's suite of services such as Azure SQL Database, Azure Data Lake Storage, and Azure Synapse.Creating and deploying data integration processes with Azure Data Factory.Extracting data from different sources, executing transformations, and putting it into data warehouses or lakes.Enhancing the efficiency of data pipelines and database performance through continuous monitoring and optimization efforts.
#J-18808-Ljbffr