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O Database Management System: Storing, organizing, managing, and delivering data using relational DBs, NoSQL DBs, Graph DBs, and data warehouse technologies including AWS Redshift and Snowflake.
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5+ years experience performing data warehouse architecture development and management across one or more data warehouse solutions including BigQuery, Synapse, Teradata, Vertica, or Snowflake.
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Work with a team with respect to discovery, design and delivery of data models, data governance models, data migration plans, data warehouse design and reporting components of applications using GCP, Databricks and Microsoft tools.
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Our team provides the Business Intelligence software development and technical services required to sustain EDW applications to include Project Management, Data Warehouse Management, Tableau Server Administration/Tableau Desktop Administration, Technical Collaboration Support, Lessons Learned, Executive Orders and Special Projects, Architectural Enhancements, and Cloud Migration.
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You will construct semantic layers for Looker, MicroStrategy, Tableau, and In-House Tools on top of our big data warehouse, making sure the data is represented to analysts in an accurate, consistent, and performant way.
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This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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Emphasis on data technologies, including Excel, Tableau, SQL, Adobe, FlyWheel, or similar data visualization, mining, and segmentation tools. The Customer Journey Analyst works within the audience creation wing for the Data Strategy Department and its affiliated Platforms (NASCAR Data Warehouse, Motorsports Consumer Data Platform, Tickets.com, etc.
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As a Senior Data and BI Analyst, you’ll play a pivotal role in driving our data analytics initiatives, by leveraging your expertise in Tableau development and data warehouse (DWH) modeling.
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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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In this role, you will work as part of a team to understand patterns of data as they apply to MUSO Banking products, develop mapping specifications for use by developers, and execute test plans to identify inconsistencies between our source systems and target warehouse objects.
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Understanding and experience with modern cloud data warehouse and engineering for one or more of the following cloud providers Azure (Synapse, Dynamo, Cosmos, Azure ML, Power BI), AWS (Redshift, Sagemaker), GCP (BigQuery, Vertex, Cognitive Services), Snowflake, Tableau.
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Extract and analyze data using various software packages including, but not limited to, Microsoft Excel, SPSS, Oracle SQL Developer, Argos, Collin College Student Information System (Banner) and the Collin College Data Warehouse (Zogotech), Workday, R and other tools as needed.
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This candidate must be an experienced BI developer who is also able to manage requirements gathering and client interactions along with being proficient in common BI tools like QlikView, Qlik Sense, Tableau and Power BI. The candidate will be expected to work closely with Master Data Management, Data Warehouse, and Sales Operations teams to ensure overall project success.
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2+ years of experience working within data warehouse tools such as RedShift and BigQuery (both will be used in this role at PMG), and the ability to work interchangeably within the two. 2+ years of experience in pulling data from tools such as Tableau or Looker Studio for reporting purposes.
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Preferred QualificationsLarge Scale Cloud Data Lake/ Warehouse transformationAWS Cloud experience in Streaming, Batch Data ManagementRedshift or other large warehouse Management experienceAdvanced SQL and AnalyticsBI tools like tableau, QuicksightData Governance and Quality ControlsComputer language experience (Python, PySpark, and R)Monitoring and Alerting systems experience (AppDynamics, Splunk etc.
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