Senior Database Administrator!

10 years

0 Lacs

Posted:2 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Company Description

Celcius Logistics Solutions Pvt Ltd is India's first and only asset-light cold chain marketplace, offering a web and app-based SaaS platform that brings the entire cold chain network online. Our platform enables seamless connections between transporters and manufacturers of perishable products, serving key sectors like dairy, pharmaceuticals, fresh agro produce, and frozen products. We provide comprehensive network monitoring and booking capabilities for reefer vehicle loads and cold storage space across India. With over 3,500 registered reefer trucks and 100+ cold storage facilities, we are revolutionizing the cold chain industry in India.


Role Description

Senior Database Administrator (DBA)


Key Responsibilities:

  • Design and implement fault-tolerant, highly available database architectures.
  • Manage clustering, replication, and automated failover systems.
  • Ensure zero-downtime during updates, scaling, and maintenance.
  • Monitor and optimize database performance and query efficiency.
  • Tune database configurations for peak performance under load.
  • Implement caching and indexing strategies.
  • Design data models for real-time telemetry ingestion.
  • Implement partitioning, sharding, and retention policies.
  • Ensure data consistency, archival, and lifecycle management.
  • Set up and enforce database access controls and encryption.
  • Perform regular security audits and comply with data regulations.
  • Implement backup, disaster recovery, and restore procedures.


Qualifications

  • 10+ years as a hands-on DBA managing production databases
  • Experience handling high-volume, real-time data (ideally telemetry or IoT)
  • Familiarity with microservices-based architectures
  • Proven track record in implementing high-availability and disaster recovery solutions
  • Advanced knowledge of enterprise RDBMS (Oracle, PostgreSQL, MongoDB, etc.)
  • Experience with time-series and geospatial data
  • Hands-on experience with clustering, sharding, and replication
  • Expertise in performance tuning and query optimization
  • Proficiency in database automation and monitoring tools
  • Strong scripting skills (Python, Shell, etc.)

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