Description

You will design, develop, and optimize database schemas, queries, and data pipelines to support high-performance applications across relational, NoSQL, graph, and time-series systems.

Responsibilities

• Design and maintain scalable database solutions for MySQL, MongoDB, Neo4j, and TimescaleDB.
• Build and optimize schemas, indexes, and stored procedures for performance and scalability.
• Develop ETL pipelines and ensure smooth integration between databases and applications.
• Implement data modeling strategies for structured, unstructured, and graph-based data.
• Monitor, tune, and troubleshoot database performance, queries, and replication.

Required Skills

• 10+ years of experience in database development and architecture.
• Expert proficiency in MySQL, including schema design and query optimization.
• Strong experience with MongoDB, covering document modeling, aggregation framework, and sharding/replication.
• Proficiency in Neo4j for graph modeling, Cypher queries, and graph algorithms.
• Experience with TimescaleDB, including time-series modeling, hypertables, and continuous aggregates.
• Proficiency in SQL and NoSQL query languages.
• Experience with ETL processes, data migration, and integration frameworks.
• Familiarity with database monitoring tools and performance tuning techniques.

Preferred Skills

• Experience collaborating with application developers, data engineers, and DevOps teams.
• Ability to provide database documentation and share best practices within the team.

Key Skills

Education

Any Graduate