Description

Design and maintain scalable MongoDB architectures, ensuring high availability, performance, and security for high-volume datasets.

This role is on-site.

Responsibilities

• Design and implement scalable data models, including advanced schema design, indexing, and sharding strategies.
• Optimize complex queries, manage the Aggregation Framework, and troubleshoot system bottlenecks.
• Maintain high availability through replica sets, perform database upgrades, and define backup and disaster recovery procedures.
• Enforce data protection, manage roles and permissions, and ensure compliance with security standards (e.g., PII, PCI).
• Manage ETL/ELT processes and data migrations between SQL and NoSQL environments.

Required Skills

• 5+ years of experience with MongoDB features, BSON data structures, and the MongoDB Aggregation Framework.
• Proficiency with MongoDB Atlas, Compass, and the MongoDB Shell.
• Familiarity deploying and managing databases on cloud-native platforms: AWS, GCP, or Azure.
• Proficiency in backend languages such as Python, Java, or JavaScript.
• Experience integrating Kafka for event-driven architecture, including topics, schemas, and payloads.
• Experience with Flink and Spark for stateful stream processing and large-scale batch ETL pipelines.

Preferred Skills

• Bachelor’s degree in Computer Science, Data Engineering, or Information Technology.
• Strong problem-solving and analytical skills with ability to work independently.

Key Skills

Education

Any Graduate