Job Opportunity: Trainee - Cloud Database Engineer at Rackspace

Location: Gurgaon, Haryana, India (Hybrid)
Employment Type: Full-Time
Shift: Rotational

Job Summary

Rackspace is seeking a motivated fresher to join our Public Cloud - Offerings and Delivery team as a Trainee Cloud Database Engineer. The role involves performing database engineering and administration tasks, adhering to company security policies, and staying updated with industry trends.

Key Responsibilities

• Assist in installation, configuration, and maintenance of databases.
• Work with public cloud hyperscale portals for database operations.
• Utilize automation tools and scripting languages (Python, PowerShell, Ansible, Shell Scripts, TSQL, PLSQL) along with cloud-native tools like Terraform and Git/GitHub.
• Monitor database performance, identify and resolve bottlenecks.
• Support backup and recovery processes, including disaster recovery.
• Implement and maintain database security, managing user access and permissions.
• Maintain accurate documentation of database configurations and procedures.
• Collaborate with developers, system administrators, and other stakeholders.
• Engage in continuous learning to stay updated on database technologies and best practices.
• Participate in rotational shifts and 24x7 production support for database infrastructure.

Required Knowledge & Skills

• Understanding of relational database concepts, normalization, and ACID properties.
• Proficiency in SQL fundamentals, including DML and DDL statements.
• Knowledge of public cloud platforms and cloud databases (PaaS and IaaS).
• Familiarity with different database types: relational, document, graph, and key-value pair databases.
• Basic database design principles and schema creation.
• Understanding of backup strategies, recovery models, and restoration processes.
• Fundamentals of database security, authentication, and authorization.
• Knowledge of High Availability (HA) and Disaster Recovery (DR) concepts, RTO, and RPO.

Additional Information

Rackspace may use AI tools to assist in parts of the hiring process, but final hiring decisions are made by humans. For details on data processing, please contact us.