Job
Description
1. *Database Design and Implementation*: Design, implement, and maintain databases to meet organizational needs. 2. *Database Administration*: Manage and administer databases, including data modeling, normalization, and optimization. 3. *Data Security and Backup*: Ensure data security, integrity, and availability by implementing backup and recovery procedures. 4. *Performance Monitoring and Optimization*: Monitor database performance, identify bottlenecks, and optimize database configuration for improved performance. 5. *Troubleshooting and Support*: Troubleshoot database issues, provide technical support, and resolve database-related problems. 6. *Data Migration and Integration*: Plan, coordinate, and execute data migrations and integrations with other systems. 7. *Database Upgrades and Patches*: Apply database upgrades, patches, and fixes to ensure database stability and security. 8. *Documentation and Reporting*: Maintain accurate documentation, reports, and metrics on database performance, security, and usage. Requirements 1. *Technical Skills*: Proficiency in database management systems (DBMS) such as Oracle, Microsoft SQL Server, MySQL, or PostgreSQL. 2. *Database Design and Development*: Knowledge of database design principles, data modeling, and normalization. 3. *SQL and Query Optimization*: Strong understanding of SQL, query optimization, and performance tuning. 4. *Data Security and Backup*: Knowledge of data security best practices, backup and recovery procedures, and disaster recovery planning. 5. *Problem-Solving and Troubleshooting*: Excellent problem-solving and troubleshooting skills, with the ability to analyze complex database issues. 6. *Communication and Collaboration*: Effective communication and collaboration skills, with the ability to work with technical and non-technical stakeholders. Nice to Have 1. *Certifications*: Database certifications such as Oracle Certified Professional (OCP), Microsoft Certified Database Administrator (MCDA), or Certified Data Administrator (CDA). 2. *Cloud Experience*: Experience with cloud-based databases such as Amazon RDS, Google Cloud SQL, or Microsoft Azure Database Services. 3. *Data Warehousing and Business Intelligence*: Knowledge of data warehousing and business intelligence concepts, including data modeling, ETL, and data visualization.
