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Experience managing databases, Azure Data Platform services (Azure Data Lake (ADLS), Data factory (ADF), Data Lake Analytics, Stream Analytics, Azure SQL DW, HDInsight/Databricks, NoSQL DB), SQL Server, Oracle, Data Warehouse etc.
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Hands on experience working with Talend or SSIS as an ELT tool with Snowflake and SQL server Data Integration. The Hartford's Global Specialty IT team is seeking a hands-on Senior Staff Data Engineer to enhance and support its Data assets on snowflake and SQL server platform.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience in building the Snowflake SQL Data warehouse using the Virtual warehouses based on best practices. Experience in Data migration from RDMS to snowflake cloud Data warehouse.
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SSIS strongly preferredPython DBT, Mulesoft, Alation – good to havePrimary Responsibilities:Strong understanding or Snowflake on Azure Architecture, design, implementation and operationalization of large-scale data and analytics solutions on Snowflake Cloud Data Warehouse.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Comprehensive understanding of Microsoft Azure Data Platform, covering Azure Synapse, Azure Data Factory, Azure SQL Database, and legacy Microsoft SQL Server technologies such as Database Engine, SSIS, SSRS, and SSAS.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Design and develop SQL data warehouse solutions for effective reporting and analysis using SQL Server Analysis Services (SSAS) and Tableau. The role involves designing SQL data warehouse solutions, creating reports and dashboards using various tools, and optimizing SQL Server Integration Services (SSIS) packages for ETL processes.
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Utilize Real-Time, Batch, and NoSQL/SQL. Utilize big data solutions, SQL Server, DW/Vertica/Teradata and Hadoop. Act as a Subject Matter Expert for migrating on-prem applications to cloud-based PaaS focusing on data warehouse and big data solutions: Microsoft Azure HDInsight, Azure Databricks, Azure Synapse and Snowflake.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience working with big data technologies and data formats (e.g., Parquet, Delta, Iceberg)Extensive experience with at least one of the following RDMS: Oracle, SQL Server, Postgres or MySQL.Strong communication skills: able to partner with technical and business stakeholders to drive innovative solutions.
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Intelligence (BI) Developer will develop and implement enhancements to and provide production support for the firm’s enterprise data warehouse, reporting, data integration, and business intelligence solutions (Microsoft SQL Server Business Intelligence stack.
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Experience working with large datasets, pipelines, modern warehouse technologies(Snowflake), and data processing, analytical capabilities(Databricks)at real-time and batch. Strong knowledge of database technologies, such as Oracle, Microsoft SQL Server, PostgreSQL, and MongoDB.
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Any experience with Azure Data Lake, Azure Data Factory, Azure Synapse / Azure SQL / Azure SQL Managed Instance, Azure Analysis Services, DAX, Databricks, Azure Automation, Azure Key Vault, Azure Logic Apps, Azure AutoML PowerShell, Power BI.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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In addition, the candidate should also have some hands-on experience working with the Azure platform and primarily: Azure Data Warehouse / Synapse, Azure Data Factory, Azure Data Lake, Databricks and Azure Analysis Services.
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Agile, SaFE, AWS PaaS (EC2, ELM, Autoscaling, Lambda, API-Gateway, CloudFormation), Azure PaaS (App Service, Service Fabric, Functions, Logic Apps, SQLDB, DocumentDB, SQL Data Warehouse, Table Storage, Redis Cache, AzureAD, Notification Hubs, Event Hubs, IoT Hub, Stream Analytics, Machine Learning, Service Bus, Search, Cloud Services, Application Insights, CDN, Media Services.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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The Data Warehouse Developer must have strong command of the SQL query language. The Data Warehouse Developer will report directly to the Business Intelligence Manager, Enterprise Data Services (EDS) within the Division of Information Technology (DIT) at the University of Maryland, College Park. This is a C2 position which serves as an opportunity to contribute to a strategic initiative to improve data-driven decision-making on campus.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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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.
ExpandApply NowActive JobUpdated 10 days ago
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