Database Administrator

8 years

0 Lacs

Posted:17 hours ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

🚀 We’re Hiring: Database Administrator (DBA)

📍 Location: Thiruvananthapuram, Kerala (Onsite)

💼 Experience: 4 – 8 Years

💰 CTC Range: ₹8 – 16 LPA


About the Role

We are seeking a skilled Database Administrator to manage, optimize, and secure AI-driven, cloud-hosted relational and NoSQL databases. The ideal candidate will have expertise in database architecture, performance tuning, security, high availability, and cloud-based solutions, working closely with Development, DevOps, and Infrastructure teams to ensure efficient data management.


Key Responsibilities


Design, implement, and maintain scalable, high-availability databases.


Optimize SQL queries, schemas, and indexing strategies for performance.


Monitor, troubleshoot, and tune databases for efficiency.


Implement replication, partitioning, and sharding techniques.


Manage cloud databases (AWS RDS, Azure SQL, GCP Spanner).


Enforce database security policies, roles, and access controls.


Set up automated backups, recovery plans, and ensure compliance (GDPR, HIPAA, ISO).


Support CI/CD pipelines for automated database deployments.


Perform installation, upgrades, and patching of database systems.


Required Skills


4+ years of DBA experience.


Strong knowledge of MySQL, PostgreSQL, SQL Server, Oracle, and MongoDB.


Expertise in query optimization, indexing, clustering, and replication.


Familiarity with AI-powered analytics & predictive data processing.


Experience with data pipelines and streaming tech (Kafka, Snowflake, BigQuery).


Proficiency in scripting & automation (Shell, Python, PowerShell).


Strong awareness of database security & compliance standards.


Preferred Qualifications


Bachelor’s in Computer Science / IT (or equivalent).


Relevant certifications: Oracle DBA, AWS Database Specialty, MS SQL Server.


Exposure to NoSQL systems (Redis, Cassandra, DynamoDB).


Familiarity with Big Data tools (Hadoop, Spark, Elasticsearch).

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