Experience – 4 to 8 Years
Location – Bangalore
Work Mode – Hybrid
Mandatory: MongoDB/CouchDB, Database Designing, Performance Tuning, Optimization, Complex Query Writing, Advance Indexing, Strong understanding database issues. This role is completely individual contributor.
Job Description
Required Experience and Skills
Experience:
- 5–8 years in database engineering, architecture, or backend data systems.
- 3+ years of hands-on experience managing Azure Cosmos DB and MongoDB in production.
- Deep understanding of:
- Cosmos DB: Partition key design, RU/s provisioning, indexing, consistency models, TTL, and multi-region replication.
- MongoDB: Replica sets, sharding, indexing strategies, aggregation pipelines, schema optimization, and tuning.
- Proven ability to design for high concurrency, low latency, and multi-tenant SaaS systems.
- Experience with query profiling, performance benchmarking, and monitoring dashboards.
Specific skills required
- Design & Architecture:
- Architect and implement distributed data models using Cosmos DB (Core SQL or Mongo API) and MongoDB to support large-scale, high-throughput applications.
- Define partitioning, indexing, and data distribution strategies for optimal scalability and performance.
- Performance Engineering:
- Conduct deep query analysis, index optimization, and RU/cost optimization in Cosmos DB.
- Implement profiling, query tuning, and aggregation optimization in MongoDB.
- Automation & Operations:
- Build automation scripts (Python, PowerShell, Bash) for deployment, monitoring, and scaling.
- Integrate database monitoring and alerting using Azure Monitor, MongoDB Ops Manager, or similar tools.
- Data Lifecycle Management:
- Implement and optimize backup/restore, TTL policies, and Change Feed or CDC pipelines.
- Design and validate disaster recovery, replication, and geo-distribution strategies.
- Collaboration:
- Partner with development and DevOps teams to design data access layers, API integrations, and IaC templates (Terraform, Bicep, ARM).
- Contribute to performance reviews, code walkthroughs, and system design discussions.
Desirable Experience
- Experience with data migrations (e.g., Oracle/SQL → MongoDB or Cosmos DB).
- Knowledge of event-driven architectures, microservices, and API-based integrations.
- Familiarity with data security and compliance (encryption, GDPR, HIPAA).
- Exposure to Azure infrastructure, Terraform, or CI/CD data pipelines.
- Awareness of frontend and application integration points (understanding how data models serve APIs/UI layers, Angular).
Additional Skills (Preferred)
- Strong SQL foundation; ability to work with RDBMS systems (SQL Server, PostgreSQL, MySQL) and evaluate relational vs. document model trade-offs.
- Familiarity with backend stacks (.NET, Java, Node.js) for integration and troubleshooting.
- Experience with Infrastructure as Code (Terraform, Bicep, ARM templates).
- Scripting proficiency in Python, PowerShell, or Bash for automation.
- Certifications (preferred):
- Microsoft Certified: Azure Cosmos DB Developer Associate
- MongoDB Certified Developer/DBA
- Exposure to data lakes, analytical processing, or data warehousing concepts is a plus.
Required Qualifications:
- Bachelors in Engineering, Computer Science or equivalent.
- Demonstrated experience with Cosmos DB and/or MongoDB at scale
- Strong foundation in distributed systems, NoSQL principles, and data architecture
Additional Information
Personal Skills:
- Excellent analytical and problem solving skills
- Excellent verbal and written communication skills
- Ability to articulate and present different points-of-views on various topics related to project and otherwise.
- Eager to learn and continuously develop personal and technical capabilities.