MongoDB Developer (3-6 yrs)

Job Description

- MongoDB Performance Tuning

- Understanding how to create and manage indexes to speed up query performance.

- This includes using single-field, compound, and text indexes appropriately.

- Utilizing the MongoDB profiler to analyze slow queries and refine them for better performance.

- Familiarity with the explain plan feature is essential to understand how queries are executed.

- Mastery of the aggregation framework to perform complex data transformations and analysis efficiently.

- Knowing how to use pipelines, stages, and operators effectively can significantly enhance performance.

- Configuring connection pools to manage multiple concurrent connections efficiently, which helps improve application responsiveness.

- Understanding how to distribute data across multiple servers (sharding) and ensuring high availability and redundancy through replication.

- Code Versioning Tools

Git :

- Proficiency in using Git for version control, including branching strategies (e.g, Git Flow), merge conflict resolution, and understanding repositories.

SVN (Subversion) :

- Familiarity with SVN for managing code revisions and tracking changes, especially in legacy systems.

Mercurial :

- Basic knowledge of Mercurial for version control, understanding its command-line operations and repository management.

Cloud Platforms :

AWS : Experience with AWS services, particularly those related to database management (like Amazon DocumentDB, EC2 for MongoDB hosting, and S3 for backups).

Azure : Understanding Azure's database services, including Cosmos DB, which is similar to MongoDB in terms of functionality.

Other Cloud Providers : Awareness of alternatives like Google Cloud Platform (GCP) and their database offerings, ensuring flexibility in cloud strategies

Pune, Hyderabad