Job
Description
Role Description We are looking for an experienced Database Administrator (DBA) to manage, optimize, and secure AI-driven, cloud-hosted relational and NoSQL databases. The ideal candidate should be proficient in database architecture, performance tuning, security, and high availability solutions, with expertise in cloud-based databases and AI-powered data processing. The DBA will work closely with development, DevOps, and infrastructure teams to ensure efficient data management.Responsibilities Design, implement, and maintain highly available and scalable databases.Optimize SQL queries, indexing strategies, and database schema for performance.Perform database tuning, monitoring, and troubleshooting. Implement replication, partitioning, and sharding to improve efficiency.Work with cloud-hosted database solutions (AWS RDS, Azure SQL, Google Cloud Spanner).Implement database security policies, user roles, permissions, and access control. Set up automated backup and disaster recovery plans to ensure data integrity. Ensure compliance with GDPR, ISO, HIPAA, and other data regulations.Handle installation, upgrades, and patching of database systems.Work with CI/CD pipelines to automate database deployments.Required Skills & Knowledge 4+ years of experience as a Database Administrator.Proficiency in MySQL, PostgreSQL, MongoDB, SQL Server, and Oracle.Experience with query optimization, execution plans, and indexing. Knowledge of high availability, replication, and clustering.Familiarity with AI-powered predictive analytics for data processing. Hands-on experience with data pipelines and streaming technologies (Kafka, Snowflake, BigQuery).Strong security and compliance awareness.Scripting and automation skills in Shell, Python, or PowerShell.Preferred Qualifications Bachelor’s Degree in Computer Science, IT, or a related field.Certifications such as Oracle Certified DBA, AWS Database Specialty, or Microsoft SQL Server Certification.Experience with NoSQL databases like Redis, Cassandra, or DynamoDB.Familiarity with big data tools (Hadoop, Spark, Elasticsearch).
