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Day to day:Working with SQL Stack e.g. SQL Server 2016 or higher, SSAS, SSIS, SSRS, MDM, Power BI.Use of data model concepts, master data management, operational process, SDLC, project management, data profiling, data cleansing/de-duplication processes.
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The Sr. ETL Developer contributes to the success by designing and developing complex data-centric solutions, including data warehousing, system integration, ETL & data integration, and BI/semantic models, e.g. SSAS. The incumbent will participate in the full life-cycle of solution implementation, from requirements gathering/review and data modelling through development, testing, implementation and maintenance.
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Position Description The Sr. ETL Developer contributes to the success by designing and developing complex data-centric solutions, including data warehousing, system integration, ETL & data integration, and BI/semantic models, e.g. SSAS. The incumbent will participate in the full life-cycle of solution implementation, from requirements gathering/review and data modelling through development, testing, implementation and maintenance.
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2+ years managing and developing in Azure Analysis Services or SSAS. Experience with Azure DevOps, ADF Experience (Running SSIS from ADF and native ADF pipelines) 3-5 years' experience using the Microsoft Azure Data integration tools including SSIS/IR, ADF and ADO.
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7+ years managing the operations and building Data Warehouses on an Azure SQL platform including project management, resource assignment, architectural design. What does diversity, equity, and inclusion mean to Plante Moran.
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Designs and oversees development of enterprise and departmental business intelligence, data warehousing and reporting solutions using existing tools - SQL Server, Power BI, Azure services, Power Apps, Power Automate.
$92,000 - $138,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience Requirements Minimum 5 years of experience in MS BI tools (SSRS, SSAS, Power BI) 5+ years of relevant experience in report development, data science, business analytics, business intelligence, or comparable data engineering role, including data warehousing and business intelligence tools, techniques, and technology.
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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.
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Experience in Microsoft traditional data warehousing and Business Intelligence (SQL Server, SSIS, SSAS, SSRS). Familiarity with Power BI, including DAX, SSAS Tabular, PySpark/scripting, PowerShell, and Stream Analytics.
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Familiar with database development/tuning in MS SQL Server platform, T-SQL, stored procedures, data warehousing/ETL, SSIS, SSRS, SSAS, MDX. Familiar with database development/tuning in MS SQL Server platform, T-SQL, stored procedures, data warehousing/ETL, SSIS, SSRS, SSAS, MDX.
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Knowledge of Data Warehousing and Business Intelligence: Experience in data warehousing, ETL processes, and business intelligence solutions, including integration with tools like SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS), and SQL Server Reporting Services (SSRS.
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Requirements: Expertise in SQL and relational schema design, strong Python scripting skills, familiarity with cloud environment, familiarity with Databricks, familiarity with orchestration tools like Apache Airflow, proficiency in spoken and written English Responsibilities: Designing, developing, and maintaining data processing systems with a focus on Data Warehousing.
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Will work on Power BI SQL Server, SSRS, SSAS, SSIS. Also includes facilitating data modeling, data analysis, data management, data integration, dash boards, analytics, predictive modeling, reporting and support.
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Hands on experience with Modern Data Warehousing in cloud, Azure Data Factory, Azure Databricks, Pyspark, Azure DevOps, Azure Machine Learning, Azure Data Lake, Power BI, MS SQL Server, SSAS, SSRS, SSIS, Tableau, Alteryx, Natural Language Processing, Scikit-Learn (Classification, Clustering and recommendation system.
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SCAN Group is the sole corporate member of SCAN Health Plan, one of the nation’s leading not-for-profit Medicare Advantage plans, serving more than 270,000 members in California, Arizona, and Nevada. Experience in Deep Learning Libraries, such as tensorflow or pytorch is perferred.
$44.42 - $71.05 an hourFull-timeExpandApply NowActive JobUpdated Today
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