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The ideal candidate will have extensive knowledge and experience in designing, developing, and implementing comprehensive data strategies using Microsoft Azure technologies including DataBricks, Data Factory, Synapse, Purview, Fabric , SQL Server, SSIS, and Power BI. This role involves collaborating with cross-functional teams to ensure our data architecture supports our business goals and objectives, while maintaining data governance and compliance standards.
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JDzure databricks (Core), Azure services (Admin), Cosmos DB, Pyspark, Python, SQL, SSIS, ETLStreaming and batch data processing in Hadoop and Cloud Databricks environment. Propose good and optimized solutions and architecture for new/existing projectsSolutions should primarily focus on saving latency and costs in batch and streaming environmentCreate cost reports for existing sources in databricksMonitor current Azure/Databricks resources + Cost used and suggest best resources/configurations for new/existing projectsWork on databricks core projects (this can be moving sources to databricks/configuration changes etc.
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Data engineering experience outside of BI tools: ETL/ELT, data source mapping, RDBMS, NoSQL, Azure DF, Redshift, BigQuery/SSIS/SSAS, SQL Server, Postgres. Data engineering experience outside of BI tools: ETL/ELT, data source mapping, RDBMS, NoSQL, Azure DF, Redshift, BigQuery/SSIS/SSAS, SQL Server, Postgres.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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2 Years of working experience developing and supporting data pipelines and ETL processes in Azure Synapse Analytics, Azure Data Factory, or SQL Server Integration Services (SSIS) Azure Synapse / Azure Data Factory.
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Supports in pipeline architecture and development using one of the tools such as Azure ADF, AWS Glue, SSIS, DataBricks (multiple preferred); Azure Data Engineer Associate. Supports in pipeline architecture and development using one of the tools such as Azure ADF, AWS Glue, SSIS, DataBricks (multiple preferred.
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Advanced level proficiency with at least one ETL / Data Orchestration technology (Azure Data Factory, SSIS, Informatica, Alteryx, Ab Initio, Pentaho, Talend, Matillion) 5+ years of experience implementing modern designs using at least one cloud-based solution/platform (AWS, Azure, GCP.
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Knowledge in Microsoft enterprise cloud technologies such as Dynamics 365 CRM, Office 365, Microsoft Azure. Knowledge of Azure DevOps (VSTS) Experience with Microsoft Azure platform and service (Power BI, Flow, Cortana, etc.
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Experience with Microsoft Azure Data Integration Stack (Azure Data Lake Gen2, Azure Data Factory, Delta Lake, SSIS, SQL Server, Azure Data Warehouse) Experience with Azure DevOps including test and build automation tools and processes.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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5+ years of experience with SQL or NoSQL database (PostgreSQL, MySQL, SQL server, Oracle, Aurora, Presto, BigQuery) Experience cloud-based data warehousing and data lake solutions like Snowflake, Redshift, Databricks.
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Data development experience (SQL, SSAS, SSIS, Snowflake, etc.) Automate end-to-end deployment and CICD processes using the Azure DevOps toolset. 5 years of recent experience in a technical systems engineeringDevOps position using on-premise and cloud solutions; minimum 3 years of experience working in Azure; minimum 2 years of experience working with Azure DevOps, Pipelines.
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NET Core, MVC, Entity Framework ,Angular, Azure cloud services, Amazon Web Services (AWS), SQL Server including creating stored procedures, functions, tables and creating and maintaining SSIS packages and SSRS reports.
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Experience with at least one ETL platform (e.g., SSIS, Talend, Informatica, DBT) Added advantage using cloud computing to build analytics applications in Azure. Experience with at least one ETL platform (e.g., SSIS, Talend, Informatica, DBT.
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NET, Visual Studio 2010+, JavaScript, AJAX, SQL Server 2012+ (TSQL, SSIS, SSRS, etc.) MS Azure, AWS (Amazon Web Services) Experience in the following is a plus: Angular, Agile Development Methodology, Kendo UI.
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Extensive background in business intelligence tools (e.g., SSIS, SSRS and SSAS) Experience in CI/CD pipelines using Azure DevOps. Experience with MS Azure/AWS or other cloud-based data warehouse systems.
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Microsoft SQL Server Integration Services (SSIS), Azure Data Factory (ADF) Azure DevOps, Atlassian Jira. SQL Server Database Engine, Azure SQL Database, or Azure SQL Managed Instance.
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