Skill diminta
AWSAzureCommunicationGCPLinuxMongoDBMySQLPostgreSQLRedisSQLSQL Server
Gaji pasar untuk posisi ini
Median Rp8,8 jt/bulan · rentang umum Rp7,5 jt – Rp11,0 jt
Berdasarkan 198 lowongan DevOps & Infrastructure se-Indonesia (semua level).
Lihat data gaji selengkapnya →Deskripsi
Tanggung Jawab
- Design, implement, maintain, and manage scalable, highly available (HA), and reliable database systems.
- Monitor database performance, troubleshoot issues, and ensure optimal database availability, security, and integrity.
- Develop, optimize, and maintain SQL queries to ensure efficient database performance.
- Perform database design, including indexing, partitioning, and performance tuning.
- Manage relational and non-relational databases across on-premises and cloud environments.
- Implement database backup, recovery, and disaster recovery strategies to ensure data availability and business continuity.
- Collaborate with development, infrastructure, and other IT teams to support application requirements and ensure database reliability.
- Identify and resolve complex database-related issues and recommend improvements to database architecture and performance.
- Stay up to date with the latest database technologies, tools, and industry best practices.
Kualifikasi
- Bachelor's degree (S1) in Computer Science, Information Technology, or a related field.
- Willing to work in a 24/7 shift rotation
- Minimum of 1 year of work experience as a Database Engineer or in a related role.
- Hands-on experience in designing, implementing, and managing scalable and highly available (HA) database systems.
Strong knowledge of relational database management systems (RDBMS), such as Oracle, Microsoft SQL Server, MySQL, PostgreSQL, and DB2, as well as NoSQL databases such as MongoDB.
- Strong knowledge of in-memory databases, particularly Redis.
- Proficiency in Linux and Windows operating systems.
- Strong SQL skills, including the ability to analyze, troubleshoot, and optimize queries for performance and efficiency.
- Good understanding of database design principles, including indexing, partitioning, and database normalization.