In this role, the selected candidate will be responsible for planning and organizing database, Database creation, manage users, password security, privileges & roles, performance tuning, restoration, user creation, script running, patch installation etc.
In this role, you will provide leadership in all technical aspects of assigned projects, programs and portfolios. Architect complex end-to-end solutions across distributed, host and business intelligence environments.
The individual will possess end-to-end vision of the enterprise data strategy, provide thought leadership to a diverse team and take a hands-on approach to drive the modernization of the architecture and design of the data platform,
Primary responsibilities of this role would include owning, tracking and resolving database-related incidents and service requests, fulfilling Service Level Agreements (SLAs), reviewing service related reports.
In this role, you will be responsible primarily for supporting the daily operations of Oracle E - Business Suite ( Financials, Procurement, Manufacturing, Distribution, HR & Payroll, Projects, Self Service, etc. ) and working collaboratively with the functional and development teams.
As a BI Solutions Architect with the company, you will work with cutting edge, multi-terra byte data warehouse solutions across various industries. We work on a project basis, so you get to be part of both the creation and delivery team.
In this role, you will research, design, and advocate new technologies, architectures, and infrastructure products that will support infrastructure requirements for the enterprise and its customers, business partners, and vendors.
This position will have proven collaboration and negotiation skills, and will consult with multiple business teams across digital, data science, finance and operations as well as with technology development leaders to deliver key business objectives.
The Big Data Engineer will participate in the design sessions with the architect. Big data engineers develop, maintain, test, and evaluate large-scale, multi-tiered, distributed data applications and systems.