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Data technologies deployed within the cloud platform include Azure Data Lake Storage (ADLS), Azure Databricks and Databricks Delta Lake, and Snowflake Data Warehousing.
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Design, develop, adapt, and maintain data warehouse architecture and relational databases that support data mining. Experience with SQL technologies: Databricks (Spark), OR Azure Synapse.
$121,500 - $143,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience in Pyspark, SQL, Cloud data warehouse like Azure Synapse, DataBricks. Experience in ETL/Pipeline Development using tools such as Azure Databricks and Azure Data Factory with development expertise on batch and real-time data integration.
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Experience in any cloud data warehouse like Synapse, Big Query, Redshift, Snowflake. Design, develop, and deploy Spark program in databricks environment to process and analyze large volumes of data.
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Implement best practices for data management, security, and governance within the Databricks environment. Optimize Databricks jobs for performance and scalability to handle big data workloads.
$130,000 - $145,000ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Utilize Azure cloud services: Azure SQL Data Warehouse, Azure Data Lake, Blob Storage, Data Factory, Databricks, Stream Analytics, Cosmos DB, and other services to build scalable and high-performance data solutions.
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Understanding and experience with modern cloud data warehouse and engineering for one or more of the following cloud providers Azure (Synapse, Dynamo, Cosmos, Azure ML, Power BI), AWS (Redshift, Sagemaker), GCP (BigQuery, Vertex, Cognitive Services), Snowflake, Tableau.
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DataRobot, Dataiku, Databricks, Spark and related data science tools. Data Warehouse (DWH) Architect - 100% Remote. The current ecosystem of data warehousing solutions including those on Azure, AWS and GCP.
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3+ years of experience of working with DataBricks, SnowFlake, or other data warehouse and data lake products and technologies. We are a multidisciplinary team with expertise in machine learning, data engineering, and software development.
Part-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Build end-to-end machine learning workflow, from data pipeline, modeling, tuning, evaluation, to continuous improvement, etc. Transform complex analytical models into scalable, production-ready applications using modern cloud-based technology and large scale data platforms.
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Should have experience in architecture and implementing End to End Modern Data Solutions using Azure and advance data processing frameworks like Databricks etc. Good knowledge of popular database and data warehouse technologies from Snowflake Microsoft Azure SQL Data Warehouse.
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Managing the Data Pipelines maintained in Azure Synapse, Databricks to ensure the data set is properly ingested into the data warehouse. The Power BI Developer is responsible for developing data pipelines and reports that connect multiple API’s to provide insightful, actionable data.
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Experience with Azure products and services including Azure Data Lake Gen2, Azure Databricks, Azure Databricks Unity Catalog, Databricks API, Databricks Row-level security, Databricks error logging, Azure SQL Server, and Azure Analysis Services.
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5+ years of experience with Microsoft Big Data solutions with experience in SQL Server (2017 or higher), Azure SQL technologies (Azure Data Lake Gen2, Azure Databricks, Azure Databricks Unity Catalog, Databricks API, Databricks Row-level security, Databricks error logging, Azure SQL Server, and Azure Analysis Services), and a broad experience with related tools (CDC, Columnstore Index, In-memory Table, SSAS Tabular, DAX, T-SQL, SSIS.
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Hands-on experience with big data technologies such as Apache Spark, Hadoop, and/or Databricks. Experience working with Databricks for data engineering and analytics workflows.
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databricks data warehouse jobs in Jersey City, NJ
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