Responsibilities

Administer and maintain relational and distributed databases (e.g., PostgreSQL, HDFS) across multiple environments.
Implement database configurations, replication, and backups to ensure high availability and data integrity.
Participate in database design discussions — advising on schema, indexing, and partitioning strategies.
Perform query optimization and performance tuning to improve system efficiency.
Support data ingestion pipelines and integration with modern frameworks such as Apache Iceberg, Apache Hudi, GraphDB, or VectorDB.
Monitor and troubleshoot database performance and operational issues, escalating complex cases where needed.
Automate administrative tasks using Python, PowerShell, or Bash scripts.
Enforce security, access controls, and audit compliance in alignment with organizational policies.
Collaborate closely with developers, DevOps engineers, and data analysts to support product and feature development.

Requirements

Minimum 4–5 years of experience in database administration, including hands-on experience with PostgreSQL or similar RDBMS.
Solid understanding of query tuning, indexing, and partitioning strategies.
Experience with distributed data or data lake frameworks (e.g., HDFS, Apache Iceberg, Apache Hudi).
Familiarity with scripting and automation tools (Python, Bash, PowerShell).
Exposure to graph or vector databases (GraphDB, Neo4j, VectorDB) will be an advantage.
Working knowledge of database security, access control, and backup/recovery best practices.
Strong analytical mindset, good communication skills, and a collaborative team player.