Responsibilities
- Design, deploy, and manage Windows Servers on Azure/AWS, including virtual machines and instances.
- Develop and maintain SQL queries, stored procedures, functions, and triggers.
- Design and implement scalable data pipelines, ETL/ELT workflows, and data marts.
- Ensure data accuracy, consistency, and security across all database systems.
- Create and maintain documentation for database structures, processes, and standards.
- Troubleshoot and resolve database-related issues, supporting application developers and incident response.
- Optimise database performance through indexing, query tuning, and schema design.
- Implement automation for data workflows and integrate with CI/CD and DevOps practices.
- Design and maintain data warehouses and efficient data models.
- Deploy and manage data solutions on cloud platforms (AWS, Azure).
- Implement and maintain security measures, including access controls and encryption.
- Collaborate with vendors, analysts, and business teams to deliver scalable solutions.
- Conduct business needs analysis, risk assessment, and propose solutions with timelines and budgets.
- Prepare and maintain project documentation, functional specifications, and user manuals.
- Manage project execution, budgets, and stakeholder communication.
- Lead user acceptance testing, training, and system support for critical issues.
- Drive continuous improvements and manage change requests effectively.
Requirements
- Minimum 5 years’ experience as a SQL Server Data Engineer or Administrator.
- Microsoft SQL Server Certification (e.g., Microsoft Certified: SQL Server DBA or Azure Database Administrator Associate).
- Strong knowledge of SQL Server high availability and disaster recovery technologies.
- Expertise in database design, data modelling, and SQL programming.
- Proficiency in performance tuning, query optimisation, and index strategies.
- Familiarity with MySQL, Oracle, PostgreSQL, and MongoDB is an added advantage.
- Proficiency in scripting (e.g., T-SQL, PowerShell) for maintenance and automation.
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