Live opening · Posted 13 days ago

Senior Developer – Oracle Analytics & Data Integration

Technorover · Hyderabad, Telangana, India (Hybrid)
Linkedin No
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At a glance

The key details from the original listing.

Posted 13 days ago
CompanyTechnorover
LocationHyderabad, Telangana, India (Hybrid)
Work modeNo
SourceLinkedin
Listed13 days ago

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About the role

Description supplied by the original job listing.

Build and maintain enterprise data pipelines using Oracle Fusion Data Intelligence (FDI), Artificial Intelligence Data Platform (AIDP), Oracle Analytics Cloud (OAC), and Oracle Data Integration and Migration Platform (ODIMP).
Design and develop Oracle Analytics Cloud (OAC) dashboards, reports, visualizations, and analytical solutions based on business requirements.
Develop dimensional data models, including fact and dimension tables, to support enterprise reporting, analytics, and dashboards.
Implement data integrations to ingest data from Oracle Fusion Cloud Applications and other enterprise source systems into the analytics platform.
Create, enhance, and maintain Artificial Intelligence Data Platform (AIDP) workflows, extensions, and custom data-processing components.
Perform comprehensive data validation across ingested data, transformed datasets, semantic models, dashboards, and reports to ensure data accuracy, consistency, and completeness.
Prepare solution design documents, technical specifications, data mapping documents, and other required development artifacts.
Participate in peer reviews for source code, technical designs, data models, and testing deliverables.
Optimize Extract, Transform, and Load (ETL) processes, Structured Query Language (SQL) queries, data pipelines, and Oracle Analytics Cloud dashboards to improve performance and scalability.
Collaborate with onsite and offshore teams for requirement clarification, technical discussions, issue resolution, testing, and delivery alignment.
Communicate directly with clients and business stakeholders, as required, to understand requirements, provide technical updates, and support issue resolution.
Troubleshoot data integration, transformation, reporting, and analytics issues and provide timely resolutions.
Follow established development, testing, documentation, and deployment standards throughout the project lifecycle.

Work arrangement
No

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