The IT Cloud Data & AI Admin is to provide a mix of traditional database support along with Azure Data Engineering and AI.
Digicel Group is a total communications and entertainment provider with operations in 31 markets in the Caribbean, Central America and Asia Pacific.
After 18 years of operation, total investment to date stands at over US$5 billion worldwide. The company is renowned for delivering best value, best service and best network.
Digicel also runs a host of community-based initiatives across its markets and has set up Digicel Foundations in Haiti, Jamaica, Papua New Guinea and Trinidad and Tobago which focus on educational, cultural and social development programmes.
Visit www.digicelgroup.com for more information
Job Title: IT Cloud Data & AI Admin
Location: Trinidad
Summary/Objective:
The primary responsibility of the IT Cloud Data & AI Admin is to provide a mix of traditional database support along with Azure Data Engineering and AI.
Traditional database support is required for databases of applications that have been migrated to Azure as IaaS. The main focus will be the Implementation, configuration, maintenance and performance of databases.
You will also focus on Azure Data Engineering which is focused on data movement, cost optimisation, performance tuning, database optimisation for applications, cloud security & governance and cloud architecture. This includes the design and implementation of management, monitoring security and privacy of data using the full stack of Azure data services to satisfy business needs.
Main Duties & Responsibilities:
- Manage databases in Azure.
- Configure, maintain database servers and processes.
- Monitor system health and performance
- Ensure high level of performance, availability, sustainability and security.
- Analyze, solve, and correct issues in real time
- Provide suggestions for solutions
- Refine and automate regular processes, track issues, and document changes
- Assist developers with query tuning and schema refinement
- Provide 24x7 support for critical production systems
- Perform scheduled maintenance and support release deployment activities after hours
- To detect and troubleshoot Database Server related CPU, Memory, I/O, disk space and other resource contention
- Design and build High Available & High-Performance Database Environments.
- Assist in automation activities where-ever possible from design through development and deployment
- Share domain and technical expertise, providing technical mentorship and cross-training to other peers and team members
- Be part of new implementation projects and will be responsible to prepare the pre-implementation plan for such projects as may be required from time to time for implementation by the Implementation Teams
- Implement data storage solutions that include relational and non-relational data stores.
- Manage and develop data processing that include batch processing and streaming solutions.
- Monitor and optimize data solutions.
- Design Azure data storage solutions. Recommend Azure Data solutions based on requirements. Choose the correct data storage solution to meet the technical and business requirements.
- Design data processing solutions. These can be batch or real-time processing solutions.
- Design for data security and compliance.
Qualifications:
- Experience working in an IT Operational environment, specific Cloud experience would be an asset.
- 2 years of experience as a SQL Server DBA or similar role
- 2 years of experience with MY SQL Server Administration experience required
- 2 years of experience with Performance Tuning and Optimization (PTO)
- 2 years of experience with backups, restores and recovery models
- 2 years of experience of High Availability (HA) and Disaster Recovery (DR) options for SQL Server
- 2 years of experience with Windows server, including Active Directory
- Sense of ownership and pride in your performance and its impact on company’s success
- Critical thinker and problem-solving skills
- Team player
- Good time-management skills
- Great interpersonal and communication skills
- MCTS, MCITP, and/or MVP certifications a plus
- Understanding of Cosmos DB, mySQL
- Technical Degree: min of Bachelors in Computer Science or adjacent fields
- Understanding of Microsoft AI and data platform technologies, BI technologies, with the technical aptitude and experience to learn new technologies and understand relevant cloud trends
- Breadth of technical experience and knowledge, with depth in two or more of the following areas: Business Intelligence, Big Data, Data Governance, Data Science, Machine Learning, Artificial Intelligence
- Able to assist with Cloud strategy, adoption, and governance
- Hybrid Cloud design, implementation, and management experience
- VMWare experience, preferably hands on
- Cloud Migration Experience, data and servers
- Azure Backup as a Service, Azure Backup server
- Familiar with data storage and protection, backup and data retention policies and process, vnet design, cloud server right sizing and Azure services optimization
- Process automation
- Familiarity with Security and Networking
- Applicable Azure related certifications like MCSE, MCSD, MCSA preferred
Functional Skills:
- Ability to think critically and to persuade stakeholders out of their comfort zone.
- Hands on implementation of solutions in Azure from prototypes to production roll out.
- Can translate business requirements into scalable, flexible and secure cloud data platform architectures, leading design, estimation, planning, and implementation of cloud migrations and deployments
- The ability to visualize complex issues and build that vision in the minds of a varied community of stakeholders.
- Ability to create Architecture Governance & Documentation / Diagrams (Logical, Context, Physical, Network) (Visio)
- The ability to communicate across communities, articulating value at both a high level and detailed level simultaneously.
- The ability to understand requirements and boundaries, guiding a diverse community of stakeholders toward a sound, achievable solution.
- Knowledge of virtual (VMware) and Cloud based Infrastructure and technologies (Hybrid, IaaS, SaaS)