| Urgent Requirement:-Data Warehouse Architect | Oracle ADW at Oracle, Arizona, USA |
| Email: [email protected] |
| From: Shivam Singh, Vyzeinc [email protected] Reply to: [email protected] Job Description - Job Title : Data Warehouse Architect | Oracle ADW Duration: 24+ Months Location : Sacramento, CA ( hybrid) About the job "Oracle ADW Migration: Transforming Data Landscape for Enhanced Efficiency" Our client, a leading enterprise in Northern California, is embarking on a groundbreaking initiative to modernize its data infrastructure by migrating from traditional on-premises solutions to Oracle Autonomous Data Warehouse (ADW). This project aims to leverage the power of Oracle ADW to enhance data management, improve scalability, and elevate overall operational efficiency. The Data Warehouse Architect we are seeking will play a pivotal role in executing and optimizing this Oracle ADW migration project, contributing to the organization's long-term data strategy Project Scope: Data Assessment and Profiling: Conduct a comprehensive analysis of the existing on-premises data infrastructure. Profile and assess the quality, volume, and structure of the data to identify potential challenges and opportunities for optimization. Migration Strategy Development: Collaborate with cross-functional teams, including IT, data analysts, and business stakeholders, to understand current and future business requirements. Devise a tailored migration strategy that aligns with organizational goals, ensuring minimal disruption to ongoing operations. Architecture Design and Optimization: Design a robust and scalable data architecture within the Oracle ADW environment. Optimize database schema, queries, and performance to capitalize on the capabilities of Oracle ADW. Data Migration Execution: Lead the execution of the migration plan, orchestrating the seamless transition of data from on-premises databases to Oracle ADW. Implement monitoring and validation processes to ensure data integrity throughout the migration. Performance Tuning and Optimization: Continuously monitor the performance of Oracle ADW , identifying and addressing bottlenecks or inefficiencies. Implement optimization techniques to maximize the benefits of Oracle ADW's autonomous capabilities. Training and Knowledge Transfer: Conduct training sessions for internal teams to familiarize them with Oracle ADW functionalities. Facilitate knowledge transfer sessions to empower the organization in managing and maintaining the Oracle ADW environment independently. Expected Outcomes: Enhanced Data Accessibility: Improved accessibility to data for various business units, enabling faster and informed decision-making. Scalability and Performance: Achieved scalability and optimized performance within the Oracle ADW environment, supporting future growth. Cost-Efficiency: Reduced operational costs associated with maintenance and support of on-premises databases. Autonomous Data Management: Leveraged Oracle ADW's autonomous features for efficient and self-optimizing data management. Key Success Factors: Seamless migration with minimal disruption to daily operations. Improved data quality and accuracy post-migration. Successful integration of Oracle ADW into the existing technology stack. Shivam Singh IT Recruiter Vyze Inc. E: [email protected] Keywords: information technology California |
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| Wed Mar 20 09:09:00 UTC 2024 |