Job Description
Qualifications
Experience in MongoDB Installation, configuration and administration for very large and complex databases in various MongoDB versions 3.4, 4.0, 4.4 and 6.0
Experience in designing MongoDB multi-sharded cluster and monitoring with Ops Manager
Hands on experience on Create, Read, Update and Delete (CRUD) Operation
Creating replica set (Arbiter, Priority, Hidden, Delayed nodes) & sharded clusters in MongoDB
Proficient in upgrading various versions of Mongo database on different platforms
Experience in managing multi - node MongoDB clusters
Responsibilities
Created aggregation queries for reporting and analysis
Creation of Indexes (Single-Field, Compound, Unique, Multi-key index, Text & Hashed Sharding indexes)
Data Backup and recovery using Mongo dump, restore & Mongo export, import
Refresh MongoDB data from staging to production and vice versa
MQL Query tuning and optimization with appropriate index creation for effective processing
Responsible for administration, maintenance, Performance analysis, and Capacity planning
Ensure the continuous availability of our mission critical MongoDB clusters using replication across data centers
Performance tuning and indexing strategies using mongo utilities like Mongostat and Mongotop
Installing OPSManager for mongodb
Job description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Fynbosys Inc, is seeking the following. Apply via Dice today!
Role: Mongo DBA Lead
Location: Lansing, MI (On-site)
Job Description:
• Experience in MongoDB Installation, configuration and administration for very large and complex databases in various MongoDB versions 3.4, 4.0, 4.4 and 6.0 .
• Experience in designing MongoDB multi-sharded cluster and monitoring with Ops Manager.
• Hands on experience on Create, Read, Update and Delete (CRUD) Operation.
• Creating replica set (Arbiter, Priority, Hidden, Delayed nodes) & sharded clusters in MongoDB.
• Proficient in upgrading various versions of Mongo database on different platforms.
• Experience in managing multi - node MongoDB clusters.
• Created aggregation queries for reporting and analysis.
• Creation of Indexes (Single-Field, Compound, Unique, Multi-key index, Text & Hashed Sharding indexes).
• Data Backup and recovery using Mongo dump, restore & Mongo export, import.
• Refresh MongoDB data from staging to production and vice versa.
• MQL Query tuning and optimization with appropriate index creation for effective processing.
• Responsible for administration, maintenance, Performance analysis, and Capacity planning
• Ensure the continuous availability of our mission critical MongoDB clusters using replication across data centers.
• Performance tuning and indexing strategies using mongo utilities like Mongostat and Mongotop.
• Installing OPSManager for mongodb
