Database Administrator

6 years

0 Lacs

Posted:9 hours ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Job Purpose:


We are seeking an experienced Database Administrator (DBA) to manage and optimize our data infrastructure. The ideal candidate will have hands-on expertise in traditional relational databases as well as modern analytical databases like ClickHouse and StarRocks. You will be responsible for ensuring performance, scalability, availability, and security of the Organisation’s data ecosystem.


Who you are:


  • 3–6 years of experience as a Database Administrator or Data Engineer.
  • Strong hands-on expertise with ClickHouse and/or StarRocks.
  • Experience with PostgreSǪL, MySǪL, or MongoDB
  • Proficiency in database tuning, indexing, partitioning, and query optimization.
  • Experience with replication, sharding, and clustering in high-volume systems.
  • Solid understanding of Linux system administration related to databases.
  • Knowledge of scripting (Python, Bash, SǪL) for automation.
  • Hands-on with cloud database services (AWS RDS, GCP, or Azure).
  • Design, configure, and maintain databases (OLTP G OLAP) for scalability and high availability.
  • Manage and optimize ClickHouse and StarRocks clusters for analytics and reporting workloads.
  • Oversee relational databases like PostgreSǪL, MySǪL, MongoDB (as applicable).
  • Monitor performance, troubleshoot bottlenecks, and implement tuning strategies.
  • Implement backup, recovery, and disaster recovery plans.
  • Ensure data security, compliance, and access controls.
  • Collaborate with engineering and product teams to design efficient data models.
  • Support data pipelines and integrations with ETL/ELT processes.
  • Automate monitoring, alerts, and database maintenance using modern tools.


What will excite us:


  • Prior experience in AI/Voice/Real-time communication platforms.
  • Knowledge of data warehouses, distributed systems, and big data processing.
  • Familiarity with Kafka, Airflow, or Spark for data pipeline orchestration.
  • Exposure to monitoring tools (Prometheus, Grafana, Zabbix).
  • Startup or SaaS product experience with large-scale data workloads.


What will excite you:


  • Work on cutting-edge AI and real-time data systems powering global communications.
  • Collaborate with cross-functional teams in Engineering, AI, and Product.
  • Flexible, ownership-driven startup culture.
  • Opportunities for career growth in next-gen databases and analytics platforms.


Location:

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