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6.0 - 11.0 years
8 - 13 Lacs
Gurugram
Work from Office
Primary Skills: Oracle Database, Postgres, Database design Secondary Skills: Data modelling, Performance Tuning, ETL processes, Automating Backup and Purging Processes Skill Justification Database Designing, Data Modelling, and Core Component Implementation: These are fundamental skills for a DBA. Database designing involves creating the structure of the database, data modelling is about defining how data is stored, accessed, and related, and core component implementation ensures that the database is set up correctly and efficiently. Data Integration and Relational Data Modelling: Data integration is crucial for combining data from different sources into a unified view, which is essential for accurate reporting and analysis. Relational data modelling helps in organizing data into tables and defining relationships, which is a core aspect of managing relational databases. Optimization and Performance Tuning: Optimization and performance tuning are critical for ensuring that the database runs efficiently. This involves analyzing and improving query performance, indexing strategies, and resource allocation to prevent bottlenecks and ensure smooth operation. Automating Backup and Purging Processes: Automating backup and purging processes is vital for data integrity and storage management. Regular backups protect against data loss, while purging old or unnecessary data helps maintain database performance and manage storage costs.
Posted 3 weeks ago
6.0 - 11.0 years
7 - 11 Lacs
Hyderabad
Hybrid
DBA with a strong focus on Primary Skills: Oracle Database, Postgres, Database design Secondary Skills: Data modelling, Performance Tuning, ETL processes, Automating Backup and Purging Processes Skill Justification Database Designing, Data Modelling, and Core Component Implementation: These are fundamental skills for a DBA. Database designing involves creating the structure of the database, data modelling is about defining how data is stored, accessed, and related, and core component implementation ensures that the database is set up correctly and efficiently. Data Integration and Relational Data Modelling: Data integration is crucial for combining data from different sources into a unified view, which is essential for accurate reporting and analysis. Relational data modelling helps in organizing data into tables and defining relationships, which is a core aspect of managing relational databases. Optimization and Performance Tuning: Optimization and performance tuning are critical for ensuring that the database runs efficiently. This involves analyzing and improving query performance, indexing strategies, and resource allocation to prevent bottlenecks and ensure smooth operation. Automating Backup and Purging Processes: Automating backup and purging processes is vital for data integrity and storage management. Regular backups protect against data loss, while purging old or unnecessary data helps maintain database performance and manage storage costs.
Posted 3 weeks ago
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