Senior Developer – Oracle Analytics & Data Integration
Technorover
- Location
- Hyderabad, Telangana, India
- Job type
- Full-time
Required skills
- Artificial Intelligence
- data models
- ETL
- Fusion
- Oracle
- Source Code
- SQL
About the role
Website:
technorover.com
Job details:
- 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.
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