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Solid understanding of Oracle's analytics offerings including Fusion Analytics Warehouse (FAW), Oracle Analytics Cloud (OAC), Oracle Data Integrator (ODI), and Autonomous Data Warehouse (ADW) Strong technical background in Data Warehouse and reporting concepts, including data modeling, ETL processes, and data integration.
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Our team provides the technical services required to sustain EDW applications to include Project Management, Data Warehouse Management, Advanced Analytics, Tableau Server Administration/Tableau Desktop Administration, Technical Collaboration Support, Lessons Learned, Executive Orders and Special Projects, Architectural Enhancement, and Cloud Migration.
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Design analytical reporting solutions on EnterpriseReporting tools such as Business Objects, OBIEE, Tableau and PowerBI. Utilizeexperience with ETL Tools: Informatica Powercenter; Reporting Tools: BusinessObjects, OBIEE, Tableau; Databases: Teradata, Microsoft SQL Server, Oracle; Languages:Shell Scripting, Oracle PL SQL; Operating Systems: Linux, MS-Windows; VersionControl Tools: Github, uDeploy, Artifactory; Services and Support Tools: OracleData Warehouse Administration Console, CA7, Crontab.
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The successful candidate will perform and/or direct the performance of software installation, configuration, and troubleshooting across multiple instantiations of Oracle transaction databases, databases supporting Oracle’s Hyperion Financial Management/EPM software solution, and business intelligence solutions using Oracle’s OBIEE data warehouse solution.
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Database, Data Lakes, Data Warehouse management (SQL Server, AWS, Azure, Redshift, Snowflake) 4+ years of data management, data engineering or data scientist.
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Using skills and experience as a BI Developer, this person will then use those requirements to design, develop, test and implement ETL, reports and dashboards that utilize the underlying data source(s)/data warehouse(s)/data mart(s.
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Solid understanding of Oracle’s analytics such as Fusion Analytics Warehouse (FAW), Oracle Analytics Cloud (OAC), Oracle Data Integrator (ODI), and Autonomous Data Warehouse (ADW.
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7+ years in experience with data analytics, reporting, and data warehousing with a focus on Power BI and / or OBIEE. Understanding of data warehousing concepts and familiarity with technologies like Oracle, SQL Server, Azure SQL Data Warehouse, or similar platforms.
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Analytics data warehouse architecture design, development, and testing. Report / Dashboard creation using leading visualization technology platforms (e.g., Tableau; Power BI; Qlik; OBIEE.
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At least 5 - 8 years of experience in OBIEE/Hyperion/Oracle Analytics Cloud, Data Warehouse, or SQL experience, ideally with integration to/from Oracle NetSuite Application. Solid grasp of Oracle Database, Data Modelling, Oracle SQL Developer, Data Warehouse concepts, advanced analytics concepts, and implementation.
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Knowledge of related solutions such as Oracle Analytics Cloud (OAC), NetSuite SuiteAnalytics Connect, Autonomous Data Warehouse (ADW) and Oracle Fusion Analytics Warehouse (FAW) is greatly desired.
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Required Skills : Data Warehouse. The client, Fidelity, is initiating a migration project to enhance and update their current reporting infrastructure, aiming to move away from the existing ecosystem of Oracle Business Intelligence Enterprise Edition (OBIEE) and Oracle Exadata towards a new setup involving Snowflake and Power BI hosted on AWS and Azure platforms, respectively.
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Email DBA Web Technologiesmarketing@dbawebtechnologies.com Data Warehouse Architect (Hadoop, Erwin, Oracle, Cognos, Tableau, R, Python) in Pittsburgh or Cleveland Business Objects, Cloudera, Cognos, Data Warehouse Architecture, Hadoop, OBIEE, Python, R, Tableau Location: Pennsylvania Job Function: Data Warehouse Architect Date Of Job Posting: 08-26-2018 Data Warehouse Architect (Hadoop, Erwin, Oracle, Cognos, Tableau, R, Python) in Pittsburgh or Cleveland.
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To extract and transform data for reporting, analysis, or data science; Familiarity with all, but not limited to, the following: Familiar with a data warehouse / data mart OLAP environment leveraging data in star schemas, snowflake schemas, and similar data structures;Familiar with data modelling in the context of transforming data from an OLTP system to an OLAP or other data warehouse related structure.
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Experience with Data Analytics Tooling (IBM Integrated Analytics System, DB2 Warehouse, Podman Containers, Zeppelin Notebook, R, Python, OBIEE) Experience working with Data Analytics methodologies and technologies (Predictive Analytics, Distributed Storage, Data Virtualization, Data Integration, Data Preprocessing, Data Quality.
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