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Mongodb architect

1 week ago

Bengaluru, India BCE Global Tech Full time
At BCE Global Tech, immerse yourself in exciting projects that are shaping the future of both consumer and enterprise telecommunications. This involves building innovative mobile apps to enhance user experiences and enable seamless connectivity on-the-go.
If you are passionate about technology and eager to make a difference, we want to hear from you Apply now to join our dynamic team in Bengaluru.
Skills Required
1. Deep understanding of Mongo DB architecture (document-oriented data model, sharding, replication, indexing, etc.)
2. Proficient in creating effective schema structures, understanding data relationships, and optimizing queries for specific use cases.
3. Strong skills in analyzing performance bottlenecks, identifying areas for improvement, and implementing appropriate solutions.
4. Strong technical foundation in data warehousing, data modeling, data integration, and data governance principles.
5. Familiarity with security best practices, access control mechanisms, data encryption, and backup/recovery strategies.
Job Responsibilities :
Collaborate with stakeholders to understand their data needs and develop a Mongo DB strategy that aligns with the organization's overall data goals. This includes determining the best use cases for Mongo DB, considering scalability, performance, and security requirements.
Define and implement data governance policies and procedures specifically for Mongo DB data, ensuring data quality, consistency, and compliance with relevant regulations. This may involve setting standards for data modeling, schema design, and access control.
Design and document the Mongo DB architecture, including data models, data flows, sharding strategies, replication setups, and indexing plans. This ensures a robust and scalable Mongo DB infrastructure that meets the organization's needs.
Create and maintain data models for Mongo DB, leveraging its document-oriented nature to represent data effectively. This involves understanding data relationships, designing efficient schemas, and optimizing data structures for specific use cases.
Deploy, configure, and manage Mongo DB instances, including sharding, replication, and backup/recovery mechanisms. This ensures high availability, scalability, and data resilience.
Analyze Mongo DB performance, identify bottlenecks, and implement solutions to improve query performance, data access speed, and overall efficiency. This may involve optimizing queries, creating appropriate indexes, and adjusting sharding strategies.
Implement security measures for Mongo DB, including access control, authentication, data encryption, and auditing, to protect sensitive data and comply with relevant regulations. This ensures data integrity and protects against unauthorized access.
Integrate Mongo DB with cloud platforms like AWS, Azure, or GCP, leveraging cloud-based services for storage, compute, and management. This enables scalability, cost optimization, and enhanced manageability.