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8+ Experience with data warehousing concepts and experience working with databases such as Teradata, Oracle, Snowflake and SQL Server. 10+ Experience with data warehousing concepts and experience working with databases such as Teradata, Oracle, Snowflake and SQL Server.
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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.
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On Premise: SQL Server, SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS), SQL Server Reporting Services (SSRS). 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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This person will help our data engineering initiatives with a particular focus on leveraging AWS, GCP, Snowflake, SQL Server, Oracle, Python, Apache Airflow, SSIS, and others. : Architect and refine a scalable, robust cloud data architecture within AWS or GCP, integrating Snowflake for data warehousing, SQL Server for database management, and leveraging Python, SSIS, and DataStage for complex ETL processes.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Proficiency with data warehouses (e.g., Snowflake, SQL Server, Redshift, Big Query, etc.) : Oversee deployment, optimizing, and scaling databases in AWS or GCP, ensuring high availability, disaster recovery, and performance tuning Snowflake and SQL Server environments.
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Implement stringent data governance frameworks, ensuring data integrity, compliance with global data protection regulations, and securing sensitive information across all platforms.
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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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Experience with Microsoft On-premise SQL Server (2017 or higher) and Azure SQL Server technologies including broad experience with SQL Server capabilities and tools (e.g., CDC, Columnstore Index, In-memory Table, SSAS Tabular, DAX, T-SQL, SSIS.
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8+ Experience programming using data analysis, data modeling, programming, and visualization tools such as Python, SQL, Power BI, Alteryx, and Tableau. 10+ Experience programming using data analysis, data modeling, programming, and visualization tools such as Python, SQL, Power BI, Alteryx, and Tableau.
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Work with the Database Architect to define data management, data governance, and data quality assurance requirements to manage the entire data processing life cycle. This individual will be responsible for defining high volume data processing pipelines in a multi-tenant environment, verifying data integrity and curating data for consumption by data warehouse, third-party data analytics tools and machine learning models.
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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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Required Skills Technical Skills- ,MS SQL Server,Snowflake,PySpark,Databricks,AWS,ETL Tool - Talend Domain Skills- ,Property & Casualty Insurance. Seeking a highly skilled Technical Lead with 10-14 years of experience in Databricks, PySpark, Snowflake, AWS, MS SQL Server, and Talend.
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The Data Engineering team sits at the center of these capabilities, leveraging and integrating with diverse technologies such as Snowflake, dbt , Kafka, PostGREs , SQL Server and more.
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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.
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10+ years of experience with designing and developing complex data analytics solutions with advance SQL development skills. This Engineer will have a strong Microsoft and Azure data background, defining high volume data processing pipelines in a multi-tenant environment, verifying data integrity and curating data for consumption by data warehouse, third-party data analytics tools and machine learning models.
ExpandApply NowActive JobUpdated 12 days ago
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