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Senior Database Engineer

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Onsite

Senior Database Engineer

Advantiqs

Senior Database Engineer

Skills

SQL QueriesMongoDBNodePythonJava.NETMicroservicesPostgreSQLMySQLMicrosoft Azure Cosmos DBOracleComplianceTerraformAzure

19 days ago

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Important information


Contract type:

Permanent

Salary:

Up to ₹2,400,000 / year

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

6 October 2026

What they need


Senior Database Engineer

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.

Required Qualifications:

  • MCA or Bachelors in Engineering, Computer Science or equivalent.

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