A database engineer creates and manages databases for a company or organization. This involves designing and building databases to suit a purpose. The database engineer must also install and configure the database
Roles & responsibilities:
- Install/ backup/restore and recover the databases
- Database upgrade and data migration
- Query optimization and performance tuning
- Generate the complex automated/manual report
- Working closely with Development team to design and development of databases
- Database system monitoring and troubleshooting
- Strong knowledge of Relational Database Management System specially MySQL & PostgreSQL.
- Experience of managing high the volume OLTP/OLAP databases.
- Strong bash/shell and Python scripting skills.
- Strong experience of database upgrades, backup, recovery and migration.
- Experience with query optimization & performance tuning.
- Strong knowledge of replication and clustering technology(specially Galera or Percona,group replication)
- Experience of data warehousing and ETL processing.
Other Specification
Qualifications:
- Education: A bachelor’s degree in computer science, information technology, or a related field is typically required.
- Experience: Prior experience working with database management systems is essential, with a minimum of 2-5 years of relevant experience.
- Database Management Skills: Proficiency in working with database management systems (DBMS) such as Oracle, Microsoft SQL Server, MySQL, or PostgreSQL.
- SQL Proficiency: Strong understanding of Structured Query Language (SQL) and ability to write complex SQL queries, optimize database performance, and troubleshoot SQL-related issues.
- Data Security: Knowledge of database security concepts, including user access management, data encryption, and backup and recovery strategies.
- Performance Tuning: Experience in database performance tuning and optimization techniques, including indexing, query optimization, and caching strategies.
- Problem-solving Skills: Strong analytical and problem-solving abilities to diagnose and resolve database-related issues, performance bottlenecks, and data inconsistencies.