Responsible for managing the organizations data infrastructure, ensuring databases are secure, efficient and accessibleProficient in Database Management SystemsRelational Databases : MySQL, MariaDB, MsSQLNoSQL Databases : MongoDBCloud Databases : Amazon RDS : MySQL, MariaDBAdvanced SQL skillsQuery writing - ability to understand and write complex SQL queries, stored procedures, triggers and functionsQuery optimization - analyze and optimize queries for performance improvementIndexing strategies - understand importance of indexing, the various indexing techniques available for each DBMS and how to implement themDatabase design and modellingData modelling - proficient in designing or advising on efficient database schemas using Entity-Relationship diagramsNormalization / Denormalization - knowledge of normalization for less data redundancy and denormalization for performance tuningCapacity planning - estimate future database growth and resource planningPerformance monitoring and tuningPerformance metrics - understand key metrics like CPU usage, memory allocation, disk I / O, query response times etcTroubleshooting - identify and resolve performance bottlenecks in databasesBackup and recoveryBackup strategies - implement full, incremental and differential backups to safeguard dataRecovery techniques - proficient in restoring databases from backups and performing point-in-time recoveriesDisaster recovery planning - develop and maintain plans to ensure business continuity in case of data loss or system failuresSecurity managementAccess control - implement role-based access control (RBAC) and manage user permissionsData encryption - ensure data is encrypted both at rest and in transitCompliance - Adhere to regulations like GDPR or PCI-DSS to maintain data privacy and securityScripting and automationScripting languages - proficient in languages such as python, powershell, bash or perl for automation of routine tasksAutomation tools - experience with tools like ansible or chef to streamline database management processesHigh availability and scalabilityClustering and replication - set up and manage database clusters and partitions and replication to ensure high availabilityLoad balancing - distribute database load across multiple servers to enhance performance and reliabilitySharding - implement sharding techniques to distribute data across multiple databases for scalabilityData warehousing and ETL processesData warehousing - understand data warehousing concepts and OLAP vs OLTPETL tools - experience with Extract, Transaction Load (ETL) tools like Talend for data integrationCloud computing and virtualizationCloud platforms - proficient in cloud services like AWS and Azure, in particular, the database offerings of eachVirtualization technologies - experience with vritualization tools such as VMWare or Hyper-V, containerization with DockerExperience with Development and DevOps practicesDevOps integration - understand DevOps methodologies and tools to facilitate continuous integration and deployment (CI / CD) involving databasesVersion control systems - familiar with systems like GIT and liquibase for managing database scripts and configurationsMigration and upgradesDatabase migration - skilled in migrating databases between systems or versions with minimal downtimeUpgrade planning - plan and execute database upgrades, ensuring compatibility and system stabilitySkills Required
Mysql, Mariadb, Mongodb, Amazon Rds, Etl