Database Administrator
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Key skills for this role
About the Role
Manage and optimize enterprise data platforms, ensuring performance, security, and integrity while collaborating with teams and supporting data governance initiatives.
Key Skills for This Role
Responsibilities
- Administer, monitor, and maintain enterprise databases and data platforms
- Ensure database availability, security, performance, and reliability
- Perform database installation, configuration, upgrades, patching, and migrations
- Implement backup, recovery, disaster recovery, and high availability strategies
- Monitor database health, troubleshoot issues, and optimize system performance
- Collaborate with application developers, data engineers, and infrastructure teams
- Support data governance, data quality, and compliance initiatives
- Maintain technical documentation, operational procedures, and system configurations
- Participate in capacity planning and implementation of new data technologies
Requirements
- Experience with PostgreSQL OR Microsoft SQL Server OR MySQL OR Oracle Database
- Experience with Redis OR Memcached OR Apache Ignite for in memory data management and caching
- Experience with Dataiku DSS OR Vertex AI OR Azure Machine Learning OR Amazon SageMaker OR Databricks
- Database Administration AND Performance Tuning AND Backup & Recovery AND High Availability AND Disaster Recovery
- Database Security AND User Access Management AND Data Integrity AND Capacity Planning
- SQL AND Database Monitoring AND Query Optimization
- Experience with Linux OR Windows Server administration
- Familiarity with Git AND GitHub OR GitLab OR Bitbucket
Full Job Posting
Job Overview
- We are seeking a skilled Data Administrator to manage, maintain, and optimize enterprise data platforms, ensuring high availability, performance, security, and data integrity.
- The ideal candidate will have experience administering relational databases, in memory data stores, and modern data analytics or AI platforms while supporting data governance, backup and recovery, and performance optimization initiatives.
Key Responsibilities
- Administer, monitor, and maintain enterprise databases and data platforms.
- Ensure database availability, security, performance, and reliability.
- Perform database installation, configuration, upgrades, patching, and migrations.
- Implement backup, recovery, disaster recovery, and high availability strategies.
- Monitor database health, troubleshoot issues, and optimize system performance.
- Collaborate with application developers, data engineers, and infrastructure teams.
- Support data governance, data quality, and compliance initiatives.
- Maintain technical documentation, operational procedures, and system configurations.
- Participate in capacity planning and implementation of new data technologies.
Must Have Skills
- Experience with PostgreSQL OR Microsoft SQL Server OR MySQL OR Oracle Database.
- Experience with Redis OR Memcached OR Apache Ignite for in memory data management and caching.
- Experience with Dataiku DSS OR Vertex AI OR Azure Machine Learning OR Amazon SageMaker OR Databricks.
- Database Administration AND Performance Tuning AND Backup & Recovery AND High Availability AND Disaster Recovery.
- Database Security AND User Access Management AND Data Integrity AND Capacity Planning.
- SQL AND Database Monitoring AND Query Optimization.
- Experience with Linux OR Windows Server administration.
- Familiarity with Git AND GitHub OR GitLab OR Bitbucket.
- Strong analytical, troubleshooting, documentation, and problem solving skills.
Good to Have Skills
- Experience with Docker OR Kubernetes.
- Knowledge of cloud platforms AWS OR Azure OR Google Cloud Platform (GCP).
- Familiarity with ETL OR ELT tools such as Informatica OR Talend OR Apache NiFi OR SSIS.
- Experience with monitoring tools Prometheus OR Grafana OR Zabbix OR Nagios.
- Knowledge of scripting using Python OR Bash OR PowerShell.
- Understanding of Data Governance AND Data Quality AND Master Data Management (MDM).
- Familiarity with CI/CD AND DevOps practices.
- Experience supporting analytics, reporting, or AI/ML workloads.
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