| Role name: | Data Model with Engineer |
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| Role Description: | Creating compelling and insightful visualizations to communicate data effectively. Managing and transforming data using data flows, including exploring, analysing, creating aggregated datasets, and implementing incremental processing Connecting to various data sources, both Oracle and non-Oracle, and integrating data for analysis. Preparing data for analytics by using built-in data prep and enrichment capabilities. Building and publishing a consistent view of data through metrics and KPIs. Optimizing the performance of OAC environments and data visualizations. Facilitating collaboration and sharing of insights and dashboards with other users. Provide technical support and guidance to clients Responsible for ensuring the smooth and reliable operation of the OAC platform, including troubleshooting issues, performance maintenance tasks and provide technical support to users |
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| Competencies: | Oracle Warehouse Management, Digital : EAS : Oracle Cloud Infrastructure, Oracle Data Integrator (ODI) |
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| Experience (Years): | 6-8 |
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| Essential Skills: | Experience in creating reports and dashboards. Experience in data modelling and RPD repository tool. Strong knowledge of Oracle Database structures, SQL queries, and performance tuning. Experience with other Oracle products like Oracle Data Integrator (ODI) and Oracle Autonomous Data Warehouse (ADW) Strong experience in data warehousing concepts, ETL processes, and BI tools is crucial. Familiarity with OACs architecture, capabilities, and best practices is essential. Expertise in dimensional modeling and creating semantic models within OAC is important. Proficiency in creating interactive and insightful dashboards and visualizations using OACs tools is key. Ability to diagnose and resolve data quality, performance, and optimization issues. |
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| Desirable Skills: | Experience in creating reports and dashboards. Experience in data modelling and RPD repository tool. Strong knowledge of Oracle Database structures, SQL queries, and performance tuning. Experience with other Oracle products like Oracle Data Integrator (ODI) and Oracle Autonomous Data Warehouse (ADW) Strong experience in data warehousing concepts, ETL processes, and BI tools is crucial. Familiarity with OACs architecture, capabilities, and best practices is essential. Expertise in dimensional modeling and creating semantic models within OAC is important. Proficiency in creating interactive and insightful dashboards and visualizations using OACs tools is key. Ability to diagnose and resolve data quality, performance, and optimization issues. |
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