Senior Database Developer – Migration & NoSQL Integration

Experience Required: 7–12 Years

Job Location: Hyderabad, Gurugram

Company Name : Incedo Inc.

Job Summary:

We are looking for an experienced and versatile Senior Database Developer with 7–12 years of experience in database development, migration, and integration. The ideal candidate will have robust hands-on experience with AWS Database Migration Service (DMS) and working knowledge of NoSQL technologies such as MongoDB or Amazon DynamoDB. This role requires a deep understanding of both relational and non-relational databases, along with the ability to integrate database services with application layers effectively.

Key Responsibilities:
Lead and manage database migration initiatives, especially leveraging AWS DMS for seamless transitions.
Design and develop robust, high-performance relational and NoSQL database solutions.
Work with MongoDB, Amazon DynamoDB, or similar NoSQL systems for scalable, schema-less data structures.
Collaborate with application development teams to enable productive integration between databases and applications.
Optimize queries and ensure performance tuning across relational and NoSQL settings.




Monitor, troubleshoot, and resolve issues related to data availability, consistency, and performance.
Automate database tasks using scripting languages (e.g., Python, Shell, PowerShell).
Ensure adherence to security, backup, and disaster recovery standards for all databases.

Required Skills and Qualifications:
7–12 years of experience in database development and migration projects.
Robust expertise in AWS Database Migration Service (DMS).
Solid experience with both relational databases (e.g., PostgreSQL, SQL Server, MySQL) and NoSQL databases (e.g., MongoDB, Amazon DynamoDB).
Hands-on knowledge of data modeling, indexing, and data partitioning strategies in NoSQL systems.
Deep understanding of DBA-to-application integration, including stored procedures, API interfaces, and ORMs.
Experience in performance tuning, schema design, and large-scale data operations.
Exposure to cloud database environments like AWS RDS, Aurora, or managed NoSQL services.
Excellent troubleshooting, documentation, and communication skills.

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