Oracle Fusion Analytics Warehouse - Technical

Rarr Technologies

4 - 9 years

8 - 12 Lacs

gurugram bengaluru

Posted:5 hours ago| Platform:

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Skills Required

erp change management warehouse analytical quality systems oracle fusion application development data quality data privacy analytics

Work Mode

Work from Office

Job Type

Full Time

Job Description

Oracle Fusion Analytics Warehouse (FAW) / Fusion Data Intelligence (FDI) Consultant Minimum 4 years experience from FAW (Fusion Analytics Warehouse) /FDI (Fusion Data Intelligence) as admin and developer and overall 6+ Year experience is preferred
Development and maintenance of Oracle Fusion Analytics Warehouse- building data models, reports and dashboards, end user training and support, manage data model, data pipelines, security and perform any customizations
Lead and own all technical aspects of FAW/FDI - ERP/HCM implementations and/or customizations including data migrations, data quality, systems integrations, 3rd-party applications, and custom development
Having Oracle fusion HCM technical knowledge is preferred
Managing users, groups, application roles and data access in FAW environment, customizing as per business needs
Participation in each phase of FAW ERP/HCM modules (eg, requirements gathering, planning-analysis-design, architect-build-deploy, support)
Provide technical leadership, setting best practices (eg, integration and application development, deployment, testing, iterative refinement)
Define, communicate, and manage a change management (release) process to develop and implement new application/code and updates to existing application/code
Design and implement data models and schemas to support analytical reporting requirements
Implement and enforce security policies, access controls, and data privacy regulations within the Oracle Fusion Analytics data warehouse environment
Monitor user access and permissions to ensure compliance with organizational policies
Monitor and optimize the performance of the Oracle FAW, including database queries, data pipelines, and system resources
Identify and address performance bottlenecks and optimization opportunities

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