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Database Administrator
2 weeks ago
Times InternetTimes Internet is the largest digital products company and the digital venture of Times of India, India's largest media and entertainment group. TIL websites are among the fastest growing Web / Mobile based networks worldwide. Since its inception in 1999, Times Internet has led the Internet revolution in India and has emerged as India's foremost web entity, running diverse portals and niche websites.
Job Title: MySql Database AdminLocation: NOIDAVERTICAL: Sys AdminDOMAIN: TechnologyEXPERIENCE: 5-10 YearsAbout the Business Unit:System & Network Admin:IT service provider to all the business within Times internet.Role Summary:The Database Professional will participate in the design, implementation, automation, optimization and ongoing operational administration related tasks backend system running on MySQL/MariaDB/ MongoDB/RedisDB/Hadoop database infrastructure. Candidates should be ready to take the instant support/operational challenges of infrastructure platforms running database services. Job Specifications:Hands-on experience on MySQL/MariaDB RDBMS and related tools like Percona Xtrabackup and Percona-tool-kit etc.
Hands-on experience on MongoDB NoSQL and Cache(RedisDB) datastores
Hands-on experience working on Private as well Public IT Infrastructure clouds like AWS.Hands-on experience on the optimization of database SQL or No-SQL queries.Should have working experience on implementing best optimized and secure practices for RDS, NoSQL and Cache database stores
Should have working experience on infra-resource planning, database upgrades/patching, backup/recovery and database troubleshooting.Should have working experience on all database support activities like Replication, Scalability, Availability, Performance tuning/optimizations on the database servers running large volumes of data
Should have working experience on building highly scalable schema design for the application using No-SQL, RDBMS and Cache databases
Good to have experience on Hadoop Technologies like HDFS, Hive, Flume, Sqoop, Sparke etc.
