Mongo DB

1 week ago

Gurgaon, Haryana, India Cognizant Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Skills-Mongo DB

Experience: 6 to 12 years

Location: AIA-Gurgaon

Job Summary

We are seeking a Senior MongoDB Database Administrator-Developer with 6+ years of

hands-on experience to take ownership of our database infrastructure. This is a high-impact role where you will be responsible for managing tuning and supporting our MongoDB environments across development staging and production systems. You will play a key role in maintaining data integrity ensuring system performance and planning for future growth.

Responsibilities

In addition to MongoDB expertise familiarity with FiveTran Snowflake and application-database development (especially with ETL data scripting

JavaScript and application design patterns for Mongo) are highly values.

Database Administration

Monitor maintain and optimize MongoDB performance and uptime

  • Configure and fine-tune database parameters for maximum efficiency
  • Implement robust backup and recovery strategies
  • Ensure data integrity security and compliance across environments
  • Migrate databases from on-premises to cloud instances (Community to Atlas)
  • Upgrade databases agents etc. to newer Mongo versions

Application Support

  • Troubleshoot and resolve application and database-related issues
  • Perform routine maintenance and version upgrades
  • Provide responsive expert-level support to engineering and end-users
  • Maintain detailed documentation of procedures configurations and best practices

Database Development

  • Consult with development team to apply MongoDB application patterns and best practices to their code

  • Create scripts to pull data from MongoDB databases for analysis and reporting purposes

  • Enhance and refine ETL scripting as needed (FiveTran and Snowflake)

Capacity Planning

  • Analyze database usage trends to anticipate future needs
  • Develop and recommend data growth and scaling strategies
  • Monitor system performance and proactively address bottlenecks
  • Right-size server resources and manage efficient data archival processes

Performance Optimization

  • Tune databases for optimal performance (indexes oplog disk IO etc.)
  • Design and maintain efficient indexing strategies
  • Monitor and optimize oplog usage and replication performance
  • Implement server scaling and performance optimization plans
  • Analyze and improve query execution plans for speed and efficiency

Disaster Recovery

  • Design and test comprehensive disaster recovery plans
  • Collaborate with cross-functional teams to ensure DR readiness
  • Monitor backup jobs and validate recovery procedures regularly

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