Senior MongoDB Engineer

2 weeks ago

Jaipur, India Kadel Labs Pvt. Ltd Full time

Job Summary :

We are looking for a Senior MongoDB Engineer to lead the setup, migration, and optimization of our database infrastructure. This role will be responsible for deploying and managing MongoDB Atlas, migrating existing workloads from SQL Server, and ensuring high-performance query execution for large-scale applications. The ideal candidate will also implement cost monitoring and optimization strategies for Atlas, while collaborating with data engineers, architects, and product teams to deliver scalable, secure, and reliable data solutions.

Key Responsibilities :

- Set up, configure, and administer MongoDB Atlas clusters, ensuring availability, security, and scalability.

- Design and implement MongoDB data models aligned with application and business requirements.

- Lead the migration from SQL Server to MongoDB, including schema design, ETL workflows, and data validation.

- Develop and optimize queries, indexes, and aggregation pipelines for high-performance data retrieval.

- Monitor cluster health, implement backup/recovery strategies, and ensure disaster recovery readiness.

- Conduct performance tuning and troubleshoot slow queries or inefficient schemas.

- Implement cost monitoring and optimization for MongoDB Atlas usage, including query efficiency and storage utilization.

- Set up monitoring, alerting, and logging solutions for proactive database and cost management.

- Collaborate with data and application teams to embed MongoDB best practices into workflows.

- Support security compliance by managing access controls, encryption, and auditing within MongoDB Atlas.

- Research and recommend emerging MongoDB tools and features for scalability, efficiency, and cost-effectiveness.

Preferred Qualifications :

- 5+ years of experience in database engineering with strong expertise in MongoDB and MongoDB Atlas.

- Hands-on experience in SQL Server administration and data migration to NoSQL systems.

- Proficiency in query optimization, indexing strategies, and aggregation framework.

- Strong understanding of NoSQL vs. relational data modeling principles.

- Experience with ETL pipelines using Python, Node.js, or similar scripting languages.

- Knowledge of cloud platforms (AWS, Azure, or GCP) for hosting, monitoring, and cost control.

- Proven experience in performance tuning and cost optimization of large-scale MongoDB deployments.

- Excellent analytical, problem-solving, and troubleshooting skills.

- Strong collaboration skills to work with cross-functional technical and business teams.

- Experience in CI/CD integration for database changes is a plus.

Nice to Have :

- Exposure to hybrid database ecosystems (SQL + NoSQL).

- Familiarity with data governance, cost management, and compliance in MongoDB.

- Experience with data replication, sharding, and partitioning strategies.

- MongoDB certification.

(ref:hirist.tech)

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