Senior MongoDB Engineer

5 days ago

Udaipur, Rajasthan, India Kadel Labs Full time ₹ 8,00,000 - ₹ 24,00,000 per year

Job Title:
Senior MongoDB Engineer

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, , 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.

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