Senior Database Administrator

Role & responsibilities

• Design, install, configure, monitor, and maintain relational and non-relational databases such as

  MySQL, PostgreSQL, Oracle, ClickHouse, MongoDB, Cassandra, ScyllaDB

  , etc.
• Automate routine database administration, monitoring, and alerting using

  shell scripting, Python, Perl

  , or similar scripting tools.
• Implement and manage

  high availability (HA), backup/recovery strategies, data security

  , and compliance measures.
• Perform

  performance tuning

  , SQL query optimization, and database design improvements.
• Document, test, and refine disaster recovery plans, including backup and restore procedures.
  
• Provide

  day-to-day DBA support

  for internal IT teams, application developers, and external stakeholders.
• Collaborate with infrastructure, QA, BI, and system engineering teams to ensure data integrity and high availability.
  
• Participate in

  change management, root cause analysis

  , and maintain technical documentation and knowledge base articles.
• Manage and oversee outsourced DBA services for routine database administration.
  
• Install and apply database software updates, patches, and version upgrades as required.
  
• Support

  application testing

  and production operations, including troubleshooting performance and operational issues.
• Serve as the

  on-call DBA

  on a rotational basis.
• Administer and monitor

  data pipelines

  and associated infrastructure.

Required Skills & Experience:

• 8-10 years

  of experience managing

  enterprise-scale databases

  .
• Expertise in

  at least three

  database technologies (with a mix of SQL and NoSQL):
• SQL:

  Oracle, MySQL, PostgreSQL, ClickHouse

• NoSQL:

  MongoDB, Cassandra, ScyllaDB, Redis, Aerospike

• Experience in installing, configuring, and upgrading databases.
  
• Strong background in

  backup/recovery procedures

  , including modern backup technologies and tools.
• Understanding of

  user-level access controls, risk mitigation, and threat models

  .
• Experience with

  synchronous/asynchronous replication

  , partitioning, converged systems, and

  cloud-based database services

  .
• Hands-on experience with

  Linux (RHEL, Ubuntu, CentOS)

  and

  Windows Server

  environments.
• Proficient in

  Shell scripting, Python

  , and/or

  Perl

  for task automation.
• Familiarity with

  cron jobs

  and modern job schedulers like

  Apache Airflow

  .
• Exposure to

  database monitoring platforms

  and tools (e.g., Prometheus, Zabbix, Nagios).
• Knowledge of

  data integration platforms and tools

  .