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The platform will be designed for District wide use and integration with other client Enterprise Data tools such as Esri, Tableau, MicroStrategy, API Gateways, and Oracle databases and integration tools.
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Knowledge of crystal reporting, pivot tables/charts, and business intelligent data visualization tools (OBIEE, Tableau, Power BI) a plus. Basic understanding and working with data management software, geographic information systems (GIS), statistical programs (R) (SAS) (STATA) (SPSS), and relational database systems (SQL, Oracle Business Intelligence.
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Experience with at least one Data Integration tool on the level of Dell Boomi, DataStage, or Informatica. OBIEE, OAC, Tableau, R, Python or other reporting, visualization, and analytics tool experience.
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The University IT Services (UITS) Enterprise Data and Analytics (EDA) team is responsible for developing and managing shared services in the area of data and analytics for the entire UMass university system.
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Lead and execute activities to support Google Cloud Native big data & analytical tools like Python, R, Spark, Big Query, Spotfire, and Tableau. Develop strategies, standards and best practices in the areas of machine learning, data visualization and data integration and lead adoption throughout Ignite.
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Preference for experience in one or more emerging big data technologies such as Hadoop, Cassandra, MongoDB and associated data integration tools like Kafka and Nifi. Experience with data visualization platforms like Microsoft Power BI or Tableau is also a plus.
Full-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Data visualization experience with platforms like (Juniper Notebooks, Tableau, Domo, Quicksight, Looker) JOB SUMMARY : Applied Data Engineer role is responsible for all aspects of NBC Sports Next data platform, data integration, and data analytics.
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Experience using Big Data or Cloud integration technologies such as Databricks, Matillion, Azure Data Factory, AWS Glue, AWS Lambda, etc. Experience in creating dashboards and visulatons utilizing popular BI tools such as Tableau, Power BI, or Looker.
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Expertise with data visualization tools such as Spotfire, Tableau, RShiny App or Python Dash. A talented and highly motivated Data Engineer to join the Quantitative Sciences & Digital Transformation group within the Portfolio Integration & Business Operations organization.
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Architecture and implementation experience with data integration experience (Azure Data Factory, Databricks, Azure Synapse Analytics, SQL Server Integration Services, etc.
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Exposure to Integration and BI Tools such as Tableau, Cognos or Power BI. Designing and implementing data ingestion pipelines from multiple sources using Azure Databricks Apache Spark and/or Azure Databricks.
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Data Visualization experience (Power BI, Tableau, QlikView, etc.) Experience with software tools such as Visual Studio, Microsoft SQL Server Reporting Services, Integration Services and Management Studio, Microsoft PowerBI, and Tableau.
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Reporting to the Chief Information Officer the Data Engineer is primarily responsible for developing and maintaining robust data integration pipelines between various systems such as internal OLTP databases, third-party vendor platforms, and an Enterprise Data Warehouse (EDW), scoping requirements for advanced reports, developing metrics and dashboards, and making recommendations for process improvement based on analysis of historical data.
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Experience with developing and supporting data management environments utilizing tools such as Tableau, Power BI, TIBCO, MSBI, Informatica, and Databricks. Leads engineering teams and guides members in best practices for data movement, data quality, master data management (MDM), data masking, data sub-setting and/or data virtualization development (collectively referred to as data integration and data management activities.
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Microsoft Azure Big Data Architecture certification a plus. Code data quality and transformation logic for data movement within data warehouse. As a member of the U.S. Data Strategy team, you’ll work in a fast-paced environment where you will be responsible for the detailed technical design and development of applications using various technology platforms.
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